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Real quick, I sent the email I mailed, sent you, I just got an invitation to have us provide continuing medical education for clinicians.

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Yeah, okay, good. Okay. Just let me know. Okay, thanks.

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We can do that.

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So we don't need to have a committee meeting. We haven't got a committee, but, but, but we, we can do that. Can we Charles?

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Yes, we can. It's a good idea.

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Okay, yeah, you can go ahead, Daria. As long as we don't get disruptive doctors coming on. Oh, yeah. Okay. I mean, they can say what they like. But, you know, as long as they don't hog the, the microphone.

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Sure. Yeah. Okay. Thanks.

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Okay, everybody.

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So, welcome to medical doctors for covert ethics international and today's meeting this community is ignite was ignited four years ago by Dr. Stephen frost a British trained medical doctor with a passion for truth as a seasoned whistleblower and activist Stephen founded

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this group to champion truth, ethics, justice, freedom and health in the face of the global challenges that we have. I'm Charles Kovacs your moderator and Australasias passion provocateur wearing my red jacket the color of passion after 20 years as a lawyer.

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I shifted gears 32 years ago to be a professional speaker and for the past 14 years I've guided parents and lawyers in addressing vaccine injuries and medical failures.

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I'm also chief executive of an industrial hemp company which is going to be a true savior for humanity in many different ways. Our group is a dynamic blend of voices from all sorts of professions around the world, united in pursuit of truth.

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Many of us once viewed vaccines is benign now many where the badge of passionate anti vaxxers with pride.

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First timers you're warmly welcome to introduce yourself in the chat share where you're from and let's connect it up if you've got a podcast book newsletter, drop the links in the chat, so we can amplify your work and stay connected.

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We're in the thick of what we call World War Three with medical and scientific battles among 12 battlefronts the spiritual battlefront is another one of those fronts.

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Five years into this fight with more to come there's no room for weariness so look after your health stay strong be up for the fight.

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Science we know is never done it thrives on challenges and inquiry some here believe in viruses, others see them as fiction, the many are still exploring.

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The one and a half hour sessions are action oriented spawning initiatives and collaborations from the connections that we make here.

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After the meeting Tom Rodman hosts an optional telegram video chat for those with the time the link is in the chat.

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We'll hear from our guest presenters today Dr. Danny Decock, followed by Q&A.

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In this session Stephen Frost asked the questions for the first 15 minutes.

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This is a free speech haven moderated appropriately to keep ideas flowing free speech is our weapon to safeguard human liberties if something offends you own it.

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We sidestep the outrage culture and its demands to silence truth.

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Which is love over fear fear binds and sickens love liberates heals and inspires these twice weekly gatherings are far from mere talk of birth real world actions and alliances and we're waiting for our first marriage to be created.

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A key tactic in our fight is exposing medical crimes on social media rallying behind the demand of medical truth now crafted by the wonderful John Rappaport medical truth now.

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This call can unite humanity in a search for accountability share problems.

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So sorry say solutions products or resources in the chat and the meetings are recorded and posted on the rumble channel we're thrilled to welcome our guest presenters today Danny Decock who's a participant in our meetings many times.

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And we look forward to his insights I will give you an introduction about Danny the full resume is in the chat and thank you Stephen for starting this group now Danny Decock is.

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Most interesting man.

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As a teenager, he was already interested in programming all kinds of computer programs ranging from accounting software invoicing software and remote monitoring of refrigeration emission critical freezer systems for blood and tissue samples in hospitals.

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So he started a master's degree in computer science program in the late 1980s in 96. He started as a researcher in computer security in academia.

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For in focusing on the whole range of skills you can read about that in the notes following the publication of the European directive of 1999 electronic signatures he designed the Belgian electronic identity card system for the government.

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In the period 06 to 08 he also designed the electronic voting system that has been used for all official elections in Belgium since 2010 for which patent number 8267306 was issued in 2012.

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In 2011 he received his PhD in engineering on the topic of contributions to the analysis and design of large scale identity management systems in which he extensively explains both the privacy aspects and the technical details of these applications.

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In 2016 Danny developed a specific interest in nutrition and health which led him to become a certified nutritionist in 2018 a licensed dietitian in 2022.

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For the last six years Danny has been living low carb and in ketosis which I'm sure he will explain for those who don't understand it based on an omnivore ketogenic lifestyle.

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I caught up with Danny when I was in Berlin a couple of weeks ago and he followed the keto diet while I was eating plenty of carbs. No I wasn't, I minimised my carbs as well.

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As a dietitian Danny provides personalised, preventative and therapeutic nutritional advice to improve overall health and reduce complications of chronic inflammation, type 1, type 2 diabetes, cardiovascular disease, cancer, food addiction, mental health problems,

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Alzheimer's and Parkinson's disease, epilepsy, ADHD, PCOS, obesity, overweight and other insulin resistance related products.

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Today we're going to be talking about, or Danny's going to be talking about, censoring free speech about COVID in an academic setting.

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Secondly is it even possible to protect your privacy from womb to grave and thirdly who benefits most from Bitcoin.

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So again thank you Stephen for creating this group. Let's dive in to the discussion and Danny we're in your hands and you can share your screen when you wish.

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So Charles can I just say a couple of things. So Danny has been coming to the meetings for I think two years maybe a year I can't quite remember but anyway he was incognito we didn't know who he was.

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And but it turned out recently we found out that he was contracted to design the Belgian ID system for the government.

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But when he found it was going in an unethical direction.

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Surprise surprise he resigned.

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But he knows so much about computers. He's a computer software genius as I understand it.

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And the Belgian government can't proceed with its computer ID program or haven't done because since Danny left that's as I understand it Danny so I'm very sorry if I've misrepresented you.

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Well, we've got the same thing. Go for Danny.

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First of all thanks for having the opportunity to present.

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I will now give my screen share a try.

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Yep, that works.

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Okay.

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Yep.

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So, I will talk about three different topics, possibly for depending on time, and whether you are interested in it or not.

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The fourth topic may be the electronic voting system that I designed in the old days.

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That is currently being used for all the official elections in various elections in Belgium.

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So,

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I will also give you an introduction about my view on things and the way I approach life and research in general.

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And you will understand very quickly why I'm doing it like this, because, as you may have read in the CV that I sent to Charles and Stephen and that has been broadcast I've been doing quite a lot.

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So, why do I know what I know.

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So, a typical person, when they look at the world or observations that they just see, they look at it from one perspective.

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And I am checking whether the animation works.

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So, I think that you now see a ball swiveling from left to right.

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Can you confirm that?

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Yep.

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Okay, very well.

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So, typically when you have been educated in one view, you typically only see what you have been trained to see.

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And whenever you have more background knowledge, you may understand the world much better.

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So, I've always been very interested in understanding what things are about and why things work the way they were.

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So, with only one view, you see the ball from one position to the other.

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If you look at two lines, if you have two perspectives, you look at a certain world or world activity, you see that things are moving.

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Danny, Danny, Danny, your audio is very muffled.

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Okay.

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Don't know why.

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Is it now better?

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No, it's like it's a bit shaky, Danny.

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So, I don't know how to describe it.

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I will disable my video.

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That's better.

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Oh, I don't think that's I think it's a mic issue.

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I don't think it's a mic issue.

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Anyway, try it, Danny.

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We can only see half your face anyway.

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But maybe that's by design.

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Okay, I disabled my video.

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Slightly better, I think.

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What do you think, Charles?

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Yeah, it's a bit better.

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Go ahead, Danny.

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We'll tell you if it's not good enough because we need it to be good for the video, for the recording.

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Go ahead.

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I will approach my computer a little.

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Okay, so the more viewpoints that you have, is this better?

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Slightly better, yeah, I think so.

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Okay, much better.

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So, the more viewpoints you have, basically the better your insights get and the better you understand what really is going on.

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So, now you have seen already the insight from four different perspectives.

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But when you go for the full blown view of reality in this example, you will actually understand what the pattern is about.

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By looking at any of these lines individually, you only see one very small perspective of what is going on.

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But when you have many different points of view, you actually see that it has been designed all along, right from the start, and it has been very carefully designed.

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So, that is basically what I've always been intrigued into.

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And that is what I have been focusing on in all the education that I've taken in the past years.

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I do not want to brag about what I've been studying, but it is quite a lot for the very simple reason that I try to master the information that I get.

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I try to master the skills that I need, and everything that I've been doing is basically a challenge response based.

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Whenever I need a certain skill and it turns out that it is something that is relevant for multiple applications, then I will focus on it.

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And normally, if it is something that is relevant, I will get a degree in it.

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So, as it happens, I have several degrees.

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So, the bottom line is basically that the drive to learn is something that is extremely important in my life.

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And instead of believing things, what people are saying or what people are claiming, I just check and verify and I make sure that I know.

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And as soon as I know the information, as soon as I know the mechanism behind something, it is quite clear that I understand and I master my topics.

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So, that is always what I try to achieve in everything that I've been doing.

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Is the sound better now?

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Well, maybe we're getting used to it. It's not perfect. It could be better, but we can manage, I think.

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It's a pity.

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Yeah. So, if you look at what I've been doing, I've been doing some computer training.

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I've been teaching students their computer security from scratch.

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I've been doing some computer forensics.

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I've been analyzing existing systems, finding errors, finding faults, mistakes during audits or during some basic research.

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And then once you have learned that something is wrong, you try to modify it and you try to improve it.

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So, that is what I have written in my PhD thesis, the analysis and design of new systems.

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So, the analysis of existing systems, improving them, making sure that they meet the criteria.

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And then eventually, when there is no existing system that meets the criteria that are necessary for a certain application,

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I just design whatever is necessary so that it fits all the needs.

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And in 2016, I started with my health journey as far as investigating food and nutrition is concerned.

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And that was not a coincidence.

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I've started that for the very simple reason that I have had a hernia in my neck and I needed...

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I had some paralysis in my fingers and the top of my arm so that it needed to be taken care of.

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And I started researching what had to be done or what could be done in order to solve that inflammation issue.

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And I had also gained quite some weight during the process of taking the anti-inflammatory drugs that I had been prescribed.

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So, I tried to find an optimal solution to optimize my health and to get rid of my weight issues.

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So, eventually, I figured out that living in ketosis, which means living in fat burning,

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which also means that I reduce the amount of carbs that I take as food.

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So, carbohydrates, which means glucose and fructose.

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I try to minimize these reasonably, but that doesn't mean that I'm an extremist.

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So, by doing that, I've basically solved all my health issues.

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So, in 2019, I started living in ketosis continuously.

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And I noticed that the drugs that I needed, the anti-inflammatory drugs, the blood pressure medication, the antidiuretics, etc.,

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all these drugs, the need for them just faded away.

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And as soon as people start noticing that I lost quite some weight, they started asking me what I had been doing.

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And I was very well capable in explaining how people had to do some computer security and the applied cryptography that corresponds with it.

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But I was not very well certified, qualified, able to explain how food and nutrition had to be applied for other people than myself.

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And as a consequence, I got some degree in nutritionist.

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So, since 2018, I have been a certified nutritionist.

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But when you take that class, they actually teach you that the people that actually need it,

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namely the people that are on drugs, that are extremely overweight, that have taken some surgery for weight loss, etc.,

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the people that really need it, you cannot give them food advice as being a certified nutritionist.

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So, as I want to master everything that I do, I have started the training to become a professional bachelor in food and nutrition.

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So, since 22, I am also a licensed dietitian and I have quite some people that I give food advice to.

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So, I always refer to these people as people that I give food advice to for the very simple reason that I want to make sure that I am not addressed as a doctor.

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I do have a PhD, but when people address me as a doctor, it gives the impression to these people and to the people that hear it that I have told them that I am a medical doctor.

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And I want to distance myself from having some legal issues for false representation.

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So, what I typically do is I put a PhD, LD, behind my name and I avoid adding DR, prepending DR in front of my name for that particular reason.

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I see that there is a suggestion about Professor Dunny.

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Well, I have never been a professor either for the very simple reason that I have distanciated myself from all professors.

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Due to arrogance and the biases that come with titles, I live as much as possible in a very low profile and I rarely use titles for the very simple reason that they suggest that you are superior to whatever other people.

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And I think that that is not correct to do so. So, just Dunny is fine.

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So, as I said, taking exams is extremely important because for the very simple reason that during the exams, you acquire the insight.

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You are forced to think about a certain topic and you can have self-thoughts, whatever you like.

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But if you have never really been forced to think about a certain question in whatever field, that is unpredictable, which typically happens during an exam, you never really understand what it is about.

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So, that is why I have always tried to take exams whenever it is relevant and possible.

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So, coming to my talk about what I wanted to say today.

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Basically, there are three topics. The censorship that I have experienced during the COVID period, the privacy issues that we are encountering in all types of fields, whether it is online or in real life.

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I will talk about that. And then in the past sessions, and not only in this group, but in many different groups, I have noticed that Bitcoin is very rarely correctly understood.

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So, I will point out a couple of things that you have to understand and know about what Bitcoin really is about.

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So, censorship in academia. I have experienced it at two levels because I was a student taking the bachelor's degree in dietetics and nutrition, and I was also a research manager working at the university.

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And I was guiding some students and PhD students during their typical research. And it was not very easy for a very simple reason that I have acquired some insights and I had acquired these insights already very early in the process of doing my research for food and nutrition.

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So, remember that I noticed already in 2016-17 that the research about food and nutrition is extremely biased. So, the biases, I tried to figure out what exactly went wrong and why many people were basically getting ill by following the guidelines.

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And the answer is very quickly, but it is very easy and you can find it very quickly, but you can only see it as an outsider.

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So, I was working at the Department of Electrical Engineering and that has nothing to do with the health sector.

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So, when you look at something from an outsider perspective, you notice a couple of very remarkable things that are going on. I have been doing some audits of banks, of systems for military, for police.

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I have done some analysis of many different systems. So, basically, the critical thinking about what is going on, how do they do it, why do they do it the way they do it, that was basically one of my first reflexes.

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So, I immediately spotted that much of the food papers, publications, that they were extremely biased, that the dietary guidelines, that they were extremely biased as well.

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So, the question is very simple. Why? So, I started to delve into reasons and manipulation techniques and I figured out already in 2018 that many propaganda techniques, media manipulation techniques, research sponsoring,

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patents, etc. All these things had been put in place such that a certain vision was being pushed and unfortunately the vision was not really beneficial for health.

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So, that is the viewpoint that I had collected already before the COVID pandemic started, before the hoax actually took off.

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So, very quickly, when I identified a couple of things, I decided that I was not going to take any injections. I belong to the people that are not really believing in viruses, but at that time I had no idea what it was about.

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I had no idea why it was better not to go into the vaccination experiment because I understood very quickly that there was something wrong.

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I recognized the propaganda techniques that had been used for the food and nutrition manipulations. And if you look at the, there is a list of 10 items that you can really tick off.

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And when you see that many of these 10 items have been ticked, you know that people that are using these techniques, that they are basically trying to manipulate you, that they are influencing you, that they are steering you towards a certain direction.

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It is the stuff of Edward Bernays and Jackie Lul, the two writers of propaganda handbooks before the Second World War and during the 60s. These two propaganda books had been written.

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And basically what the people were doing, the people that were basically building consensus, preparing the public to go for the vaccinations, they were really following the handouts of these two books. It's really remarkable.

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So by the end of 2020, the Flemish government had started their media campaign to start manipulating people and trying to stimulate them to get vaccinated. And they had registered a website, Latvianvaccineren.be, which means that getjabbed.be.

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And being a computer person, I was listening to the audio of my television at that time. Since 2021, basically I have never watched any television anymore. But end of 2020, I was still listening to the television.

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I never watched television because I was always working. So it was background noise. And I heard the domain name Latvianvaccineren.be. So my first reflex was, does the counter domain do not getjabbed.be? Does that exist?

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Latvianvaccineren.be. So they didn't block that domain. So 15 minutes later, it was my domain. And I started populating the website with quite some details. I will go into the details in a couple of slides about that it was not necessary to getjabbed, that it was not necessary to panic.

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And basically that not much was going on. So that was basically what happened. And I booked a couple of domains. So stopmRNAvaccines.com.be.nl.fr. I had a couple of websites, domain names. And a friend of mine was Italian.

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And as I am living in Belgium, many of the things that I've been doing have always been multilingual. So it was quite by default that I made my domains and my websites in Dutch, French and English. And given that friend of mine was Italian.

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I also went for the Italian version. And in order to have something that was quite catchy, I went for also the domain names stopmRNAvaccines.com. And as it happens, something like 15 days after my domain name registration, and that I went online with the domain name.

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And I also went with the information. The fact that there was an enemy website that was against the vaccinations. It had been discovered by the Flemish government. And what did I do? The university I worked for was a Flemish university.

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So Flemish university receives much money from the Flemish government. So the Flemish government contacted the rector of the Flemish university. Then they followed the chain of command.

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So from rector, the faculty chief, the faculty chief to the department chief, the department chief to my chief. And eventually, there was very simple communication that I had to hand over my websites, or they would fire me on the spot.

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And yeah, so it is always a matter of what will you do in that sort of situation. So you have the dog barking, but is the dog also biting? It is not clear. So I told them that they should go ahead with whatever they liked.

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And they didn't fire me for that very simple reason. But they made my life quite complicated and miserable. So the websites, they went down something like one year later. And for the Dutch version only, I have had 30,000 individual visitors, which is not that bad in a completely censored environment in which life is made extremely difficult.

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It is extremely hard. I'm quite happy with the 30,000 individual visitors that my website got.

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So my websites went down after a year, but they are still available through the web archive. So what I'm showing you now is basically what is available from the web archive.

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And it's quite easy to find. So this is the Dutch version, as it was multilingual. I'm going to show you a couple of the things that I had shown and put on my website in English.

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So I was actually quite fair from my perspective, because even though that I was against asking people to get jabbed as soon as possible, I was fair in the sense that my website referred to the official Flemish website.

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So for people that had arrived on my website and they still wanted to get the official advice, they could just click on that link for going to the Flemish government.

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And as far as I'm concerned, that is quite OK. And nobody could claim that I was not fair in that respect.

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So what did I do? I have had some thoughts about communicating the message in a very simple manner. So if you can communicate it very simply, that's the way you should do it.

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And that is what I have preferred to follow in my website. So it has a section on prevention. The main prevention was at that time, make sure that your vitamin D levels are up to snuff.

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The second thing was, if you caught it and you suffered from COVID, whatever COVID may have been, there is some early treatment based on hydroxychloroquine, vitamin D, the ivermectin and recommendations.

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So that people did not have the possibility to say that they didn't know. So I was informing the people about there are alternatives to getting vaccinated.

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So they are peer mongering the people. But if it's not necessary and you don't want it, well, these are possibilities that you can consider.

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So prevention, early treatment and then later treatments is what I had documented on my website. I also included, as you may have noticed in the menu.

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So I had a couple of experts, a couple of frequently asked questions and a couple of references in my menu on top of my website.

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So as I am not a medical doctor and I do not want to give medical advice and that disclaimer was mentioned very clearly in the beginning of my website.

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I also had to make sure that my references were okay. And I had included a couple of experts and you will recognize many of these people because they have been guests in these sessions on Tuesdays or Sundays.

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And I'm very happy that at that time, so at that time I didn't know this group. So let that be clear. But by coincidence, and there is no real coincidence, it is all about being prepared and knowing what you're doing.

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Then you automatically come to the experts that know what they are doing, the experts that basically know how to bring the information. But they are very hard to find.

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But having been a researcher for 28 years, it is very easy to find when you know what you have to look for.

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So I combined a couple of my properties and I came up with these people and the recommendations that I've included in the previous slides.

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That's basically all referring to the work of these people.

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Then I also had a frequently asked questions list with very simple questions so that whenever somebody has a noticed question about, is it necessary?

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Are there any other things that I should consider? And in the beginning of the COVID pandemic, there was a lot to do about the quick development of these vaccines.

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Now we know that basically they have been under development for 10, 15, something like 20 years before 2019.

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But at that time we didn't know. So it was put in the news that maybe they have been developed quite quickly.

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So I had a very simple, straightforward answer for all of these questions.

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For instance, the second question, wasn't it developed too quickly? One of the references was Dolores and Alexandra Orion Codem.

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So I did my best to be as unbiased as possible and to give as many references as possible in everything that I put on my website.

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And then also a couple of reference points so that whenever terminology is used, what I didn't realize in the beginning of 2020 was that many definitions had been modified.

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So the definitions that were applicable at the time with the terms that were relevant at that time, I've included also on that website.

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And in the bottom of my last page of my site, I mentioned something that nobody really paid attention to.

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So it says that the bottom line of everything is that 1.7 percent of the residents in Belgium, they seem to have died of COVID.

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But that actually also means that 98 percent didn't die of COVID.

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So everybody was focusing on what did they die of? And if they could label the people as being a COVID casualty, they would do so.

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So that people were actually believing that many of the issues were due to COVID.

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But in reality, it was actually a minority of people.

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Danny, those experts you had up on a slide about two slides ago, I couldn't read them.

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Could you read them out to us or just very quickly?

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Yes. So I put them on the left hand side. Can you see the left hand side column?

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Yeah, I can see them, but it's just a bit too small.

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Oh, I'm sorry about that. I will send the slides later on and then they can be added also to the website where you put the recordings.

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So Danny, I was just thinking that people looking at the video, they might like to know the names if they can't read them.

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So can you just quickly read them to us or not?

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Yes, I will. So David Grimes was one of the people. David Grimes is focusing on research on vitamin D.

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He has been working for more than 40 years on vitamin D effects and he has never seen any overdose.

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So the toxicity of vitamin D is extremely overblown.

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So David Grimes was one of the people that I mentioned.

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Ivor Cummins, Alexander Ahari Okode, Dolores Cahill, Brandy Vaughan.

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So Brandy Vaughan, she was basically, I will stop sharing my screen for a moment and I will reshare on a different screen.

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Maybe the resolution will improve by doing so.

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Yes, Danny, it's a small, you've got a narrow picture rather than a full screen picture. That's why it's hard to read.

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Yes.

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And what are we going to say about Brandy Vaughan who's been killed?

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Yes, indeed. So she was a person from Merck and as a consequence of the, she was a whistleblower working for Merck.

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And because of the fact that it was not appreciated what she was saying, she's been killed.

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Yep. And she prepared a suicide video and said if I've been claimed to have committed suicide, which is what the authorities said, it's a lie.

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A bit like Virginia Joufray. So keep going, Danny.

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What was she saying, Danny, briefly? What was she saying?

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Yeah, basically it was about the Merck vaccines. I do not exactly know which one that she was criticizing.

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But for all these things, I put them on the website five years ago.

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MMR.

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Yes, the MMR vaccines, exactly. Thanks.

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You there, Danny?

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Yes, I am there.

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So you're on the list. You're up to the fifth, I think. You'd read the fifth.

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And that was the lady who was killed.

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Yes.

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Do we know she was killed because of that?

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Yes, we do.

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No, no, she was killed.

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She had a suicide video, Stephen. She said if I'd died.

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Well, that's not definitive. But anyway, go ahead.

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Can you see the screen now in a better mode?

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That's much better.

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That's better, yes.

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Sorry about the inconvenience. So Didier Raoult is a French professor at the time. He was focusing on research on hydroxychloroquine.

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Susan Brown is also an expert on vitamin D, J.

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Patacharia, Anders Stegnell, B.

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Das Stadler, Sukari Bagdi, Katherine Austin Fitz.

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And remarkably, the videos that Katherine Austin Fitz was broadcasting in end of 2019, beginning 2020 and beginning 21.

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They are almost impossible to find. It is very remarkable.

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Tom Woods is a lawyer, also an economist, who was giving his insights on the impact of the lockdowns.

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Reid Sheftal was also giving quite some good advice with respect to don't panic, the masks, etc.

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They should be taken less seriously than what was put in the media.

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Pierre Cappel was a Dutch, he's still a Dutch person, and he's an expert virologist in the Netherlands.

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He really went through a mental breakdown during the COVID period because he was censored extremely intensively and it almost got him down mentally.

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So it almost broke the man.

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And then the Keuringsdienst van Waardet is a website with real evidence-based information about masks, the nonsense of lockdowns.

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That was a website of that nature.

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And then you have Nick Hudson from Panda.

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I do not know whether he has also made a presentation in this group.

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But early in the pandemic, he did some analysis of the ship.

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I forgot the name.

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It was the Diamond Princess.

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Yes, so that ship was actually a petri dish as far as the experiment with respect to COVID's contagion was concerned.

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And it was clear that basically it would have been contained if there was no additional action being taken.

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So unfortunately, nobody listens to many of these people.

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And as a consequence, we got into the situation where we went into.

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So my websites that I've shown, they've all been taken down.

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But the only website that they didn't take down was a website with data, data and graphs.

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So as I wanted to know what everything was about, I started analyzing the information that was made available to us through Cienzano.

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Cienzano is basically the CDC of Belgium, and they reported every day.

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And they also had JSON files that you could download for whatever interpretation or processing of your own.

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This information could be analyzed by anybody that wanted it.

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So I started downloading all the Cienzano information on a daily basis to get some insights about how many people had been vaccinated,

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how many people had died, how many people were in intensive care, etc.

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And then you saw very quickly how biased the information was because they only reported on the number of patients,

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but not on the number of patients that had left the hospital or that had left the intensive care.

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So it required some data analysis to basically come to the correct numbers so that the number of intensive care patients didn't grow to infinity.

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Because if you just followed the information from the television or the information from Cienzano and you took it for granted,

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the hospitals were just growing and growing and growing every day because they didn't mention anything about patients that either died or that left the intensive care or that were no longer ventilated.

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Even though as soon as people were getting ventilated, chances were quite high that they would die.

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So once you get ventilated, it is not very cheerful as far as prognosis is concerned.

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So what I noticed was that if you look at the data and look at percentages and you verify how many percentages,

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so the percent of females above 85, the percent of males above 85, males from 75 to 84 and females from 75 to 84,

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when you compare these numbers, you will actually see that every virus that has been, I'm calling it a virus because that was very easy to understand by people that were not anti-COVID.

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So if you look at the people that were killed by every of the batches of the viruses that have been released, you will see that each of these viruses has a particular signature.

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What I mean by a signature is that, can you see my mouse?

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Okay, so you see that this line, it shifts in height and the periods when it shifts is quite specific.

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So sometimes you have a percentage. So this is the line, the red line is the males older than 85 that have died during the first batch of the COVID viruses.

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And in the second batch of these viruses, you see that the line has shifted slightly in height.

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The same goes for the line height of the one above. So the blue line is the people that have died who are female above 85.

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And you see that there is kind of a slope and it goes down eventually.

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But if you look at the long term trend line, you would never spot this sort of changes.

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And that actually led to my conclusion that we have been confronted with four different pathogens.

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So we can call them viruses. I don't believe in viruses as we know based on the photos that Marvin made a couple of months ago.

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We know that viruses are the smallest of parasites. So basically what that means is that from my point of view, they have fabricated different types of parasites.

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And there have been four different ones that have been released into the fields.

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And the dates are mentioned in these tables. The tables are available online.

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So if you go to this website, you will find these graphs and you can browse through them.

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As I will provide you with the slides, you will be able to just click on the line with the URL and you will get there if you like.

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So from my perspective, there have been four different parasites that have been constructed so that they were killing off different categories of people.

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And given these lines, you will simply see that it was targeting a certain population.

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You can die only once. So the highest mortality were the females above 85. And the other ones are mentioned on the slides.

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But if you look at all the figures and you give some thought about it, you can also interpret them in a way that they didn't do.

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Instead of focusing on the number of people that died, you have to look at the total population of that age bracket.

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And if it is basically negligible, why would we care?

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So if we look at the period from 2020 until February 2023, I stopped updating the pages with this information in February 2023 for the very simple reason that you see that it really has faded out and there is nothing more to explain or analyze about it.

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And when you start calculating percentages about very small changes, you get crazy results.

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So in order to avoid statistical nonsense, I've stopped updating my pages in February 2023.

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So when you look at the three years of COVID and the people younger than 24, well, 99.9995% have survived.

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And there are a couple of people, namely the ones that are older than 85. There is no discussion about it that they have died and they have died with the label of COVID.

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But that doesn't mean that they died of COVID. As we know, there is the nuance between having died with and having died from.

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But we have to do it with the data that is provided by the official things.

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So Shenzhen provided data labeling the number of people that had died with the COVID things, and we cannot do anything about it.

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Okay, so that is basically what I wanted to say about the COVID censorship.

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If it's okay with you, I don't mind taking now a couple of questions on this topic and then we can move on with the next topic.

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I think Danny, keep going through because people can take their notes on their questions.

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And then we'll leave Stephen to go the first 15 minutes. So keep going.

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Okay, very well. So there are also a couple of privacy issues. Being a researcher in computer security and privacy stuff,

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I was also intrigued by a couple of things that have been going on based on the COVID passports, the vaccination passports, the proof that you had taken a test, etc.

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So I've been working for the government since something like 97, 98.

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And I started with voting systems, analyzing voting systems in the period 98, 97, 98.

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So given that expertise, they knew that when the European Directive for Electronic Signatures was published,

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that there was some researcher that was quite knowledgeable with respect to identity and identity cards and payment systems, etc.

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So in 99, they contacted me to design basically the Belgian Electronic Identity Card system.

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And you have to know that Belgium has been visited many times, visited in the sense that the Germans visited us a couple of times.

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We have been the playground for many wars in 1880, then the First World War, the Second World War.

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And when you look at one of the basic properties of a country that has been invaded or a country that has been active in a war,

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that is that the enemy, the one that occupies the territory, needs to know who is with them and who is against them.

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And one of the chiefs of the administration that I've worked with for many years, he said that basically the national registers,

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the population registers, a logbook about who has inhabited the territory and who is married to whom and all the state changes.

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So when I would move from one location to the other location, that change is kept in the logs of the government.

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And everybody who has been invaded by, for instance, Napoleon, all these countries, they do have that sort of registers.

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And in Belgium, it is called the national register. So it keeps all the state changes, the state that means the modifications of state transitions.

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When I get married, when I have a child, when I move, all these things, when I get a driver's license, when I went to the military,

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when I left the military, when I renewed my passport, when I renewed my driver's license, all these things, they are kept track of very easily.

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And there is what is called a federated identity management system. All the ministries, they have their own databases.

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So you have the population register that is one vertical ministry. They know everything about the addresses.

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Then you have the taxation ministry. They know everything about the incomes of people and they know basically how much money people have to pay.

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And then you have the other ministries, for instance, for health insurance. Then you have another ministry for the VAT.

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When you have a business and you have to pay some value added taxes, all these different tasks have their own different databases.

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And if you look at it, A, for instance, can be the bubble of the tax administration. B can be the bubble of the insurance companies.

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And then you have E, for instance, that is also a ministry but operating in each of their own contexts. And they have to exchange information with each other.

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So when I have to get my tax declaration, it is sent by mail to my official address, but the tax administration doesn't know where I live.

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So the tax administration asks the national register, give me the current address of this person. They get back the response and then they can send it out to the person.

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So all these different administrations, they are communicating through networks and they are using in our context a national number.

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So a national unique identifier that has been issued to every Belgian citizen, to every Belgian resident, and to every person that has come in contact with the Social Security Services in Belgium.

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So these three types of people, they all have unique identification numbers.

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And that unique identification number is used to request whether you are still living at a certain address, whether you have a certain insurance level for Social Security, whether you are self-employed, whether you are employed, whether you are getting some benefits from whatever services.

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So all these unique identifiers are known by each of the individual service providers.

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And the problem is, if one unique identifier is used among all these services, basically they can link and they can share information and they can basically abuse the information.

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So the privacy legislation says that they are not allowed to do so.

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But if you are familiar with how the governments work, they simply do whatever they like and they make sure that the laws are updated so that it matches what they've been doing.

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That is from a cynical perspective how the legal system works in not only in Belgium, in many different countries.

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I've been working for European Commission systems for many different European countries.

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And basically the law follows what has been done.

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So they do not always obey what has been specified in the law.

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They just make sure that everything is updated the way they need it.

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And if you look at what the European Commission is doing, in 1999 the European Commission had specified that every of the 27 member states at the time had to create something that could be used to authenticate and identify every inhabitant of the member states.

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And in 2018, 2014, in that period, they have introduced EIDAS.

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EIDAS is the second generation of the electronic identity system that they wanted to put in place.

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And EIDAS refers to the electronic identification, authentication and trust services.

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In 1999, the European Commission decided that it was important to be able to identify individual people, human physical people.

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The EIDAS went to identifying services, including everything that is done by a machine, including everything that is done by websites, etc.

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So that actually means that already in 1999, that is, let's say 25, 26 years ago, they published something that was preparing the path that would enable them in 2020 to issue something that was going to be used as the COVID pass, the vaccination pass, etc.

390
1:08:59 --> 1:09:12
And in 2020, they have also put everything that was basically used or was going to be used for enforcing or denying access to certain services.

391
1:09:12 --> 1:09:23
They've been preparing the administrations from each of the member states for something like 25, 30 years.

392
1:09:23 --> 1:09:34
Because you also have to remember that when they publish in 99 a European directive, that is not from one day to the other that they are able to publish it.

393
1:09:34 --> 1:09:38
It has been prepared in the beginning of the 90s.

394
1:09:38 --> 1:09:51
Somebody must have initiated the machinery so that everything would have been up and running and enforceable by 2020.

395
1:09:51 --> 1:10:08
And in the first month that I was participating in these calls, I asked Charles a couple of times what the timeframe would be as far as he was concerned.

396
1:10:08 --> 1:10:15
And from my point of view, it really has always been a block of five years.

397
1:10:15 --> 1:10:21
So in 99, the European directive was published for electronic signatures.

398
1:10:21 --> 1:10:29
In 2005, the preparation was done for the EIDAS 0.8.

399
1:10:29 --> 1:10:34
So that was the driving. It came into force in 2015.

400
1:10:34 --> 1:10:41
So it was prepared from 2008 and it came into force in 2015.

401
1:10:41 --> 1:10:48
So this one is EIDAS 2.0 is scheduled for this year.

402
1:10:48 --> 1:10:52
So 10 years after EIDAS 1.0.

403
1:10:52 --> 1:11:09
So it really is always in blocks of five years that they are making progress as far as the manipulation, as far as the follow up and the enforcing of control is concerned.

404
1:11:09 --> 1:11:35
So when you know that the government have been preparing their infrastructure so that they could start enforcing many of these applications, many of these services, and they would be able to shut down many of these services because of their change of policies.

405
1:11:35 --> 1:11:52
And you know that at another aspect, the people have been using their mobile phones at continuously higher intensity.

406
1:11:52 --> 1:12:00
Everybody at home currently has LED lamps, so LED lights.

407
1:12:00 --> 1:12:05
Many people have a camera at their front door.

408
1:12:05 --> 1:12:18
Many people are using remote control to open or close their gates or their front door or their blinds or the windows themselves.

409
1:12:18 --> 1:12:32
The Internet of Things has made sure that people have been made dependent on all these technical features.

410
1:12:32 --> 1:12:44
And you can control them by using your telephone or by using your tablet or by using your computer, which actually means that you can use them remotely.

411
1:12:44 --> 1:12:47
And what type of machine are you using?

412
1:12:47 --> 1:12:57
You are using a telephone that has been created by Apple or by Google or by whatever other manufacturer.

413
1:12:57 --> 1:13:07
You are using a computer that has been produced by Microsoft or by Apple or by any Linux or whatever.

414
1:13:07 --> 1:13:11
It really doesn't make any difference.

415
1:13:11 --> 1:13:19
All these operating systems that are on these devices, they are not under your own control.

416
1:13:19 --> 1:13:30
And unfortunately, that also means that when they are not under your own control, that they can be controlled by somebody else.

417
1:13:30 --> 1:13:45
And all the devices that use, for instance, a telephone to give you remote access to your house, to whatever type of feature that you have enabled.

418
1:13:45 --> 1:13:53
So a camera or your light bulbs or a door locking mechanism or a garage opener.

419
1:13:53 --> 1:14:00
All these devices, many of them are using a service that is called If This, Then That.

420
1:14:00 --> 1:14:04
So it is a kind of very simple programming language.

421
1:14:04 --> 1:14:11
And that simple programming language uses sensors that you can program.

422
1:14:11 --> 1:14:23
For instance, if I am in the neighborhood of my house and how my telephone determines that I am in the neighborhood of my house, that is beyond the scope.

423
1:14:23 --> 1:14:37
So my telephone decides, OK, now that condition has been met, when I am in the vicinity of my house, I will unlock the front door.

424
1:14:37 --> 1:14:43
Or I will open the blinds or whatever type of action needs to be taken.

425
1:14:43 --> 1:14:55
So the If This, Then That services, they are embedded in all the devices, all the systems that you are using on this very moment.

426
1:14:55 --> 1:15:15
And the problem is that if the servers behind these services, if these servers get hacked, there is some burglary without any traces.

427
1:15:15 --> 1:15:20
And that means that the insurance will not cover you.

428
1:15:20 --> 1:15:35
Because if there is no trace that there was a lock that has been forced or broken or there is no window that has been broken or there is no evidence that's over breaking,

429
1:15:35 --> 1:15:47
they will assume that you were negligent and that you enabled the burglary to enter the house or to buy or to steal whatever they liked.

430
1:15:47 --> 1:16:01
So if you enable the online services to be unlocked, for instance, remotely by means of a tablet or a computer or a telephone,

431
1:16:01 --> 1:16:12
it actually means that you will not be covered when some adverse things are happening to you.

432
1:16:12 --> 1:16:22
Because the burden of proof is always that you did your best job to protect your own goods.

433
1:16:22 --> 1:16:33
And you cannot prove that something happens on that server because who is operating that server?

434
1:16:33 --> 1:16:35
The same goes with Google.

435
1:16:35 --> 1:16:40
When there is something wrong with my Gmail, my Google email, well, who will I contact?

436
1:16:40 --> 1:16:41
There is no contact points.

437
1:16:41 --> 1:16:50
The same goes for the if this then that services and the same goes for all the manufacturers of light bulbs, locks, etc.

438
1:16:50 --> 1:16:52
So that is one of the issues.

439
1:16:52 --> 1:17:04
And next to the fact that they cannot be controlled properly, you have no idea what they are doing with your data.

440
1:17:04 --> 1:17:19
Because when you have a camera and that camera is motion triggered, so whenever there is some motion, the camera is going to enable itself.

441
1:17:19 --> 1:17:27
But if this then that services, they just are able to steer whatever they like.

442
1:17:27 --> 1:17:34
And if they want to enable that camera, even without there has been any motion detected, they will just do so.

443
1:17:34 --> 1:17:37
If they want to unlock your door, they will do so.

444
1:17:37 --> 1:17:47
So it is all in good faith that you have to use all these Internet of Things services.

445
1:17:47 --> 1:17:52
So if you think that it cannot get any worse, it does.

446
1:17:52 --> 1:18:06
And everybody has already heard or even seen the Google car that is driving around to index the pictures of all the streets for street view.

447
1:18:06 --> 1:18:16
But what they also do is they are actually documenting the Wi-Fi, the Bluetooth devices that they see, all the smart devices that they see in their neighborhoods.

448
1:18:16 --> 1:18:24
And they also pinpoint it and they know at this location you can actually find all these devices.

449
1:18:24 --> 1:18:31
And if you want to do that for yourself, well, there is a very cool device, cool from my perspective.

450
1:18:31 --> 1:18:33
That is the Wi-Fi Pineapple.

451
1:18:33 --> 1:18:40
And the Mark 7 is what is depicted here in this right hand view.

452
1:18:40 --> 1:18:44
That is a man in the middle device.

453
1:18:44 --> 1:18:54
So it puts itself between a genuine user and the network that the user thinks he is using.

454
1:18:54 --> 1:18:59
So these pineapples, many of them are used in hotels.

455
1:18:59 --> 1:19:11
And when you do not use the proper encryption for your network and you do not verify the secure communications with your network,

456
1:19:11 --> 1:19:20
the pineapple is basically something that can simply steal all the passwords that it sees.

457
1:19:20 --> 1:19:27
It can activate itself so that it intercepts all the emails that are sent on that local network.

458
1:19:27 --> 1:19:38
So it impersonates the genuine network and it makes the user believe that they are communicating with the genuine network.

459
1:19:38 --> 1:19:46
But all the traffic is routed through this device and it costs something like $200.

460
1:19:46 --> 1:20:00
So for $200 you are a professional hacker and it is extremely easy to use with no configuration whatsoever.

461
1:20:00 --> 1:20:17
So given the Google car that logs all the Bluetooth devices, we have heard already in previous talks also from Fred.

462
1:20:17 --> 1:20:22
I do not know whether he is present in the call.

463
1:20:22 --> 1:20:27
I do not see him.

464
1:20:27 --> 1:20:29
Who are you thinking of Danny?

465
1:20:29 --> 1:20:31
Fred Nazar.

466
1:20:31 --> 1:20:33
No, he is not here. I do not think.

467
1:20:33 --> 1:20:36
No, I do not see him either.

468
1:20:36 --> 1:20:44
So he was concerned about MAC addresses being radiated by people that have been jabbed.

469
1:20:44 --> 1:20:47
So I have written a small program.

470
1:20:47 --> 1:20:51
I have shared it with Tom and Gary.

471
1:20:51 --> 1:21:00
If you also want to have the application, send me an email and I will happily provide it to you.

472
1:21:00 --> 1:21:12
With that small Python application, you can just identify devices that are radiating MAC addresses, Bluetooth MAC addresses,

473
1:21:12 --> 1:21:19
even though they are not devices, which means, for instance, a human.

474
1:21:19 --> 1:21:32
So I walked around with my laptop running that application on a graveyard and the graveyard of my choice is Muslims.

475
1:21:32 --> 1:21:37
For the very simple reason that I get buried very quickly after they die.

476
1:21:37 --> 1:21:46
If you have Catholics or Jews, the Jews are flown over to Israel.

477
1:21:46 --> 1:21:53
And the Muslims, they are typically buried very quickly after they die.

478
1:21:53 --> 1:21:58
Within one or two days, they get already put in their grave.

479
1:21:58 --> 1:22:09
And what I did was I went in the evening so that there was no noise, no other people around.

480
1:22:09 --> 1:22:16
I walked with my laptop and I approached the fresh graves.

481
1:22:16 --> 1:22:25
And effectively, my laptop received MAC addresses from the dead.

482
1:22:25 --> 1:22:37
So if you think about what that actually means, it means that you can identify people without them knowing it because they are dead.

483
1:22:37 --> 1:22:46
And you can identify their presence in a range of 10 to 15 meters.

484
1:22:47 --> 1:22:53
So the graveyard where I went was in Brussels.

485
1:22:53 --> 1:23:00
It was quite large so that I could detect from a large distance.

486
1:23:00 --> 1:23:03
There are no Bluetooth addresses.

487
1:23:03 --> 1:23:10
The closer I went to the fresh Muslim graves, the more identities that I saw.

488
1:23:10 --> 1:23:21
And I've also applied that to people walking around in my neighborhood.

489
1:23:21 --> 1:23:29
So my laptop has been running 24-7 since February 2022.

490
1:23:29 --> 1:23:37
And it has been continuously identifying all the Bluetooth addresses in the neighborhood.

491
1:23:38 --> 1:23:59
And yesterday I made an overview of all the addresses that I consider are not corresponding with a genuine device like a mouse or Bluetooth earphones or a telephone or a laptop or a toothbrush.

492
1:24:00 --> 1:24:14
All these Bluetooth devices, I've all stripped them out and I came to about one million of individual MAC addresses that I've seen since 2022 until now.

493
1:24:14 --> 1:24:16
That is a huge number.

494
1:24:16 --> 1:24:35
And when I was still a student at the University College while I was studying my dietitian things, I also identified people during the session.

495
1:24:35 --> 1:24:48
And when there was a coffee break or whatever other break, the people went out of the seminar room and the number of people that were radiating addresses went down.

496
1:24:48 --> 1:24:58
I left my computer in that seminar room and as soon as people started coming in, the number of MAC addresses increased.

497
1:24:58 --> 1:25:05
So there were also classes on Thursday and Friday.

498
1:25:05 --> 1:25:12
Some of them were in a different city than the classes that were regular.

499
1:25:12 --> 1:25:19
And I could correlate the presence of people on two different days.

500
1:25:19 --> 1:25:31
So the MAC addresses that people radiate that have been jabbed, they are basically correlating their identity.

501
1:25:31 --> 1:25:36
It doesn't mean that the people can be identified.

502
1:25:36 --> 1:25:46
They can only be identified when you see that a certain person is passing by and then you write down the timestamp when you have seen them.

503
1:25:46 --> 1:25:56
Then you can find back in the logs that that person has probably one of the MAC addresses that have been logged.

504
1:25:56 --> 1:26:08
So there is an anonymity set because the MAC addresses that are radiated, they have a range of 10 to 15 meters.

505
1:26:08 --> 1:26:23
So when I walk around and I have my Bluetooth smartwatch on me, my Bluetooth smartwatch is identifiable 10 to 15 meters around me.

506
1:26:23 --> 1:26:28
That is what you have to understand with respect to these addresses.

507
1:26:28 --> 1:26:34
So there is no privacy whatsoever as far as these things are concerned.

508
1:26:34 --> 1:26:45
So, for instance, when you use my tool and there is a Fitbit smartwatch that announces itself, you will see the name of the Fitbit smartwatch.

509
1:26:45 --> 1:26:54
And you will see the address and you will see some manufacturer data and some additional information.

510
1:26:54 --> 1:27:07
But if there is some information from a corpse or person that has been jabbed, you will see totally different types of information.

511
1:27:07 --> 1:27:20
And it is this sort of discrepancy that enables the identification of people that have been jabbed basically.

512
1:27:20 --> 1:27:33
So the bottom line is that when you are walking around with your telephone, with your laptop, make sure that all the Wi-Fi features of your laptop, of your telephone,

513
1:27:33 --> 1:27:51
all the Bluetooth features of your watches, of your headphones, etc., that they are disabled because it radiates to a range of about 10 to 15 meters that you are present.

514
1:27:51 --> 1:27:57
And that is under the assumption that you are not a targeted person.

515
1:27:57 --> 1:28:03
Because there are things like the blue sniper or the blue snarf.

516
1:28:03 --> 1:28:08
Blue snarf is another name of this sort of devices.

517
1:28:08 --> 1:28:12
You can really... So these are not real guns.

518
1:28:12 --> 1:28:18
These are antennas that you can aim at a certain direction.

519
1:28:18 --> 1:28:31
And this person has put a scope on it so that they can just point and lock into a certain person for looking at what their device is doing.

520
1:28:31 --> 1:28:37
And the range of these Bluetooth device sniffers is one and a half mile.

521
1:28:37 --> 1:28:41
So that is more than two kilometers.

522
1:28:41 --> 1:28:52
So in normal circumstances, when you are not being targeted, your range of being identified is 10 to 15 meters.

523
1:28:52 --> 1:29:06
If you are a targeted person and somebody takes the effort to produce such a blue snarf or a blue sniper device,

524
1:29:06 --> 1:29:16
they can just identify what you are, who you are, and what you are sending at a range of one and a half miles.

525
1:29:16 --> 1:29:19
So that is huge.

526
1:29:19 --> 1:29:24
So I do not want to make sure that you feel uncomfortable.

527
1:29:24 --> 1:29:29
But these things are happening. These things are real.

528
1:29:29 --> 1:29:34
And these devices, they exist already for more than 10 years.

529
1:29:34 --> 1:29:37
So don't think that it is cutting edge technology.

530
1:29:37 --> 1:29:48
Most of these devices have been designed and have been put in the field together with the introduction of the device itself.

531
1:29:48 --> 1:30:00
So whenever there is a new generation of telephone with, for instance, Bluetooth or Wi-Fi or 4G or 5G features,

532
1:30:00 --> 1:30:05
at the same time, the sniffing devices are put on the market.

533
1:30:05 --> 1:30:13
And all the specifications of these things are just available free of charge in publications.

534
1:30:13 --> 1:30:23
So when you think that you can protect your identity and that you can get away with doing something to your own body,

535
1:30:23 --> 1:30:30
to hide from, for instance, security cameras, you should think again.

536
1:30:30 --> 1:30:43
Because when you put like the man on this slide, the man on the slide has put an infrared LED on top of his cap.

537
1:30:43 --> 1:30:56
And basically, the goal of that infrared LED is to hide his facial features so that a security camera cannot identify him.

538
1:30:56 --> 1:31:02
And that is true. By using such a LED, he cannot be identified.

539
1:31:02 --> 1:31:20
But if I am a government official and I want to make sure that people that are not really in favor of the regime or the government,

540
1:31:20 --> 1:31:31
I don't care about their identification. I will just hire a sniper and everybody who is wearing this sort of LED, I will take them out immediately.

541
1:31:31 --> 1:31:43
So you can protect your identity, but it comes at a price that you basically say, here I am, and you make yourself a target.

542
1:31:43 --> 1:31:50
So that is a price that you pay by using a couple of countermeasures.

543
1:31:50 --> 1:32:03
And then whenever you buy these days a vehicle, a new vehicle, I believe in the European Union, all the cars that have been produced after 2020,

544
1:32:03 --> 1:32:09
all of them need to have a black box. That means that they have some GPS inside.

545
1:32:09 --> 1:32:16
That means that they have some spying features enabled.

546
1:32:16 --> 1:32:22
And they will rat you out as soon as you do not obey the rules.

547
1:32:22 --> 1:32:29
These black boxes, they can be programmed so that when you go over the speed limits,

548
1:32:29 --> 1:32:37
that I will just tell the manufacturer of the vehicle or the operator of the black box that your car has been speeding.

549
1:32:37 --> 1:32:47
They do not immediately know who it was because then the car also needs some facial recognition and some behavior recognition.

550
1:32:47 --> 1:32:57
But basically, the cars that have been put in the markets since a bit less than 10 years,

551
1:32:57 --> 1:33:05
all of these cars have these features that can simply spy on you unconditionally.

552
1:33:05 --> 1:33:09
And there is very little that you can do about it.

553
1:33:09 --> 1:33:26
So in St. Petersburg, they have recently announced that the public transport systems are going to use the facial recognition of the people to allow the gates to open or close.

554
1:33:26 --> 1:33:38
So when you have been registered and you have paid your bills and you have paid the subscription for using the services,

555
1:33:38 --> 1:33:46
then the gate will open very quickly. And if not, then the gate will not open and you will have to do something else.

556
1:33:46 --> 1:33:56
So all these facial features, they are basing themselves on two core features.

557
1:33:56 --> 1:34:07
So the positioning of the eyes, position of the nose, and then the hairline, etc. and the position of the ears.

558
1:34:07 --> 1:34:20
These are the main features. The mouth is not always used as a reference for the very simple reason that you can grow a beard or some mustache, etc.

559
1:34:20 --> 1:34:26
So the eyes are the most important thing to identify.

560
1:34:26 --> 1:34:35
So what can you do to block these types of things? Very little is the answer.

561
1:34:35 --> 1:34:47
When you use typical sunglasses, the infrared light of your telephone, it simply goes through your sunglasses.

562
1:34:47 --> 1:34:59
So the sunglasses are as if they are not present for people that are using an infrared light sensor.

563
1:34:59 --> 1:35:06
The only thing that you can actually do is sunglasses that look like welding glasses.

564
1:35:06 --> 1:35:16
So the welding shield is extremely dark. It doesn't allow much light to go through.

565
1:35:16 --> 1:35:28
And that is basically the only thing that you can use to protect yourself from your telephone in the context of hiding your eyes.

566
1:35:28 --> 1:35:44
As far as listening in into a conversation is concerned, when there is some glass, so you have windows, double glass windows, that is fine, triple glass is also fine.

567
1:35:44 --> 1:35:56
You can simply beam a laser to the glass and the reflection of the laser beam will basically leak what you are saying.

568
1:35:56 --> 1:36:04
So it is very similar to the principle that is used for a CD or DVD reader.

569
1:36:04 --> 1:36:21
So it is also beaming a laser to the surface of the CD and depending on whether there is a bulb or not, it will deviate the laser beam a little and that will refer to a zero or one.

570
1:36:21 --> 1:36:33
And the same type of decoding is done to reconstruct the information that has been spoken inside the room.

571
1:36:33 --> 1:36:45
Tempest is another of these attack mechanisms. Everything that you have in your computer system is basically an antenna.

572
1:36:45 --> 1:37:00
And you can listen into antennas and the noise that is decoded from the antenna basically radiates the presence of people, basically radiates their activities and what they are saying.

573
1:37:00 --> 1:37:10
And the last thing that I will refer to about privacy issues, that is morphing images.

574
1:37:10 --> 1:37:27
In 2007 I made demos for custom services in which you took two distinct photos of people that are more or less similar, but they are clearly different.

575
1:37:27 --> 1:37:50
And you morph the images so that you can imprint that image, the morphed image into an identity document and you can use that identity document, for instance a passport or an identity card, and the two people can use that same document to go through security checks.

576
1:37:50 --> 1:37:57
When we gave the demo to security services, they were not feeling very comfortable, but that's not my problem.

577
1:37:57 --> 1:38:03
So that is basically one of the things that are very easy to do.

578
1:38:03 --> 1:38:28
And that is one of the reasons why identification services are trying to take image live when you are present at the counter, so that they know that they are taking the picture of that particular person, so that the picture cannot have been manipulated.

579
1:38:28 --> 1:38:34
And then the last topic that I will mention is about Bitcoin.

580
1:38:34 --> 1:38:43
And the point that I want to convey is about who is actually making the most money from Bitcoin.

581
1:38:43 --> 1:38:55
And when you have lots of Bitcoins, will you ever be able to get it back into some genuine currency?

582
1:38:55 --> 1:39:04
So there is a huge similarity between Bitcoin and the gold diggers in the old days, the gold rush.

583
1:39:04 --> 1:39:10
Who got rich in the times of the gold rush?

584
1:39:10 --> 1:39:25
It was the suppliers of goods, the transports, hookers basically, hotels, the food providers, the shovel providers.

585
1:39:25 --> 1:39:32
They got rich from the people that believed in gold digging.

586
1:39:32 --> 1:39:36
The same applies to Bitcoin.

587
1:39:36 --> 1:39:45
If you look at the similarities on the left hand side, I have enumerated the properties of blockchains and Bitcoins.

588
1:39:45 --> 1:39:52
On the right hand side, I have enumerated those of the gold rush.

589
1:39:52 --> 1:39:59
And the only ones that get rich from it are suppliers.

590
1:39:59 --> 1:40:12
And if you know that running a mining farm, mining Bitcoin is an extremely expensive activity,

591
1:40:12 --> 1:40:18
you need to have extremely expensive computer systems, huge facilities.

592
1:40:18 --> 1:40:24
All of these devices, they are dedicated mining computers.

593
1:40:24 --> 1:40:28
And it is basically a kind of a gamble.

594
1:40:28 --> 1:40:32
You don't know whether your investment is going to be profitable.

595
1:40:32 --> 1:40:37
So when you get some money in return, you're very happy.

596
1:40:37 --> 1:40:43
But you never know whether you are going to get any of this money.

597
1:40:43 --> 1:40:48
So you have to keep your costs as low as possible.

598
1:40:48 --> 1:40:59
So if you look at mining farms, Bitcoin mining farms, they go with very high power solar systems,

599
1:40:59 --> 1:41:08
or they make sure that they get their cooling from a water supply, or they get their electricity as cheap as possible.

600
1:41:08 --> 1:41:15
For instance, in China, the miners get electricity for free.

601
1:41:15 --> 1:41:21
And why it happens like that in China, you will understand that very quickly.

602
1:41:21 --> 1:41:29
Because if you look at who is basically mining most of the Bitcoins.

603
1:41:29 --> 1:41:38
So if you go to the link mentioned here below, you will get, if you go to that link today, you will see this graph.

604
1:41:38 --> 1:41:50
It actually means that of all the miners that have mined a couple of Bitcoins in the past three years,

605
1:41:50 --> 1:42:00
F2Pool, that is the name of one of the miners, has received 20,000 Bitcoins.

606
1:42:00 --> 1:42:14
The founder USA has received 29,000 Bitcoins in return of their investments to do the mining business for new Bitcoins.

607
1:42:14 --> 1:42:21
But the bottom line is you have to look at where they come from.

608
1:42:21 --> 1:42:30
So many of these, Antpool, so via BTC is a Chinese operator.

609
1:42:30 --> 1:42:36
Antpool is this one. BTCcom is a Chinese one.

610
1:42:36 --> 1:42:39
Many of these are Chinese.

611
1:42:39 --> 1:42:51
So basically what that means is that when I buy with my Euros some Bitcoins, my Euros go to China.

612
1:42:51 --> 1:43:02
And if you want to know the percentages about that, I've enumerated here a couple of percentages ranging from 2017 to 2022.

613
1:43:02 --> 1:43:05
And it varies a lot.

614
1:43:05 --> 1:43:21
In November 2018, 70% of all the money that was injected into the Bitcoin system, 70% of that money ended up into Chinese hands.

615
1:43:21 --> 1:43:34
And what do they do with it? They pay their bills. They pay the invoices for the electricity, for the cooling, for the security services.

616
1:43:34 --> 1:43:48
They take some profit from it. So basically the money that you invest or that you think you invest into Bitcoin, it disappears into the suppliers of the miners.

617
1:43:48 --> 1:43:54
The suppliers of the miners are those that provide the refrigeration.

618
1:43:54 --> 1:44:00
I've enumerated here. So the water.

619
1:44:00 --> 1:44:05
So here I've enumerated it here.

620
1:44:05 --> 1:44:14
So the coin miners, they pay their computers, their housing, the network services. That is where the money goes to.

621
1:44:14 --> 1:44:25
So whenever you want to convert a huge amount of Bitcoin back into real currency, it will never come from miners.

622
1:44:25 --> 1:44:30
It will only come from the fools that buy new Bitcoins.

623
1:44:30 --> 1:44:36
Because the buyers of new Bitcoins are the suppliers of new money.

624
1:44:36 --> 1:44:49
And that new money may be given to the ones that want to cash out and get some genuine value for their Bitcoins.

625
1:44:49 --> 1:44:55
And if you think, well, that's actually a theoretical issue.

626
1:44:55 --> 1:44:59
There are extremely many debt billionaires.

627
1:44:59 --> 1:45:15
So the problem here is that when you are a crypto billionaire or crypto trillionaire, it actually means that you have, in theory, a huge amount of money that you are entitled to.

628
1:45:15 --> 1:45:23
But if you want to cash it out and you want to convert it into real money, you will never get it.

629
1:45:23 --> 1:45:38
And in order to minimize the risks of one of these billionaires to recover their money from Bitcoins, they are just being killed.

630
1:45:38 --> 1:45:44
So that's basically what I wanted to say.

631
1:45:44 --> 1:45:53
Wow. Danny, I just believe that contact details there.

632
1:45:53 --> 1:45:56
Most, most interesting.

633
1:45:56 --> 1:46:06
And congratulations on your willingness to keep studying, your willingness to go deep.

634
1:46:06 --> 1:46:13
The time that you have invested, the advice that you've given to us on taking examinations.

635
1:46:13 --> 1:46:18
Very interesting point in terms of how it changes our thinking.

636
1:46:18 --> 1:46:27
And we'll get you to put those links into the chat as well, if you could.

637
1:46:27 --> 1:46:32
So if you stop your sharing, then we can see your face.

638
1:46:32 --> 1:46:39
Just move your camera a little bit and then we'll go to Stephen for the first set of questions and then we'll got other people with their hands up.

639
1:46:39 --> 1:46:43
So, Stephen. Yeah.

640
1:46:43 --> 1:46:49
So, Danny, I can see half your face, but that's better than no face.

641
1:46:49 --> 1:46:52
Yeah, that's fine.

642
1:46:52 --> 1:46:55
I thank you so much for speaking to us.

643
1:46:55 --> 1:47:04
I just wonder whether you could, so if you could just kind of tell us what, well, you don't need to tell us stuff you don't want to tell us, of course.

644
1:47:04 --> 1:47:21
You know, to so, but I would like, I think people might be interested in what it was that you saw or what trends you saw, which caused you to essentially kind of whistle blow or actually come out of the program that you were

645
1:47:21 --> 1:47:25
contracted to help with the Belgian government with. But maybe you don't want to talk about that.

646
1:47:25 --> 1:47:35
But if you do, it might be, it would be interesting, I think, to those watching the video later and to people watching now for that matter.

647
1:47:35 --> 1:47:37
Danny. Yeah.

648
1:47:37 --> 1:47:46
So, as I mentioned during my talk, I've been involved in government things since 99.

649
1:47:46 --> 1:48:03
And I've seen all these different steps. So in 2018, I was asked to provide specification for mobile identification system.

650
1:48:03 --> 1:48:11
So that mobile phones could use, could be used for identification purposes.

651
1:48:11 --> 1:48:25
And in 2019, beginning 2020, I realized that basically that was the thing that was going to be used as the COVID passes.

652
1:48:25 --> 1:48:32
The passports would be put on that mobile device. If you had taken a test.

653
1:48:32 --> 1:48:38
And, yeah, it is very similar to a chemtrail pilot.

654
1:48:38 --> 1:48:56
Every day, a chemtrail pilot gets into the plane. They say, OK, I will fly around and I will toxin, intoxicate, or I will poison people I fly over with my plane.

655
1:48:57 --> 1:49:03
So. Each of these pilots, they have the possibility to say no.

656
1:49:03 --> 1:49:10
And I decided basically that it was not possible for my conscious to do so.

657
1:49:10 --> 1:49:22
And as I knew that it was going to be used, abused for that sort of application, I decided that it was better to stop collaborating with them.

658
1:49:22 --> 1:49:27
And collaborating in the sense of as military term.

659
1:49:30 --> 1:49:33
You know, weaponizing the state against the people, you mean?

660
1:49:33 --> 1:49:35
Exactly. Yes.

661
1:49:35 --> 1:49:39
Yeah. So how long have you been working with them when you realized this, Danny?

662
1:49:39 --> 1:49:43
And did you later think to yourself, well, why did it take me so long?

663
1:49:43 --> 1:49:45
You know, I don't know how long it did take you.

664
1:49:45 --> 1:49:56
It did take you. But I can imagine that once you've realized it was obvious and then you were thinking, hang on, why didn't I realize this from the beginning?

665
1:49:56 --> 1:49:58
When did you realize?

666
1:49:58 --> 1:50:07
Well, in 2005, 2006, with the EIDAS system.

667
1:50:07 --> 1:50:30
So the digital services introduction, the trusted services systems, when they started pushing that, I asked myself, who is actually determining what will be the next step or what is basically the roadmap?

668
1:50:30 --> 1:50:33
And why don't I know the roadmap?

669
1:50:33 --> 1:50:40
Because if you would know the roadmap before, you could design a better system.

670
1:50:40 --> 1:50:51
But they were asking in 1999, one particular thing without giving much more information.

671
1:50:51 --> 1:50:58
And then in 2005, 2006, they started with the introduction of the EIDAS system.

672
1:50:58 --> 1:51:04
But you do not know what it is going to be used for 10 years from that moment.

673
1:51:04 --> 1:51:15
So in 2005, 2006, I do remember that I was wondering who was determining that roadmap.

674
1:51:15 --> 1:51:20
And I didn't know the answer. Now I do know the answer.

675
1:51:20 --> 1:51:25
Because it turns out that it is the European Council.

676
1:51:25 --> 1:51:29
They have their hidden agendas.

677
1:51:29 --> 1:51:37
And they use the European Parliament to implement that step by step.

678
1:51:37 --> 1:51:42
And the European Council is not the same thing as the Council of Europe, is it?

679
1:51:42 --> 1:51:43
No, indeed.

680
1:51:43 --> 1:51:45
Two different entities.

681
1:51:45 --> 1:51:48
They play with words and semantics.

682
1:51:48 --> 1:51:50
It is unbelievable.

683
1:51:50 --> 1:51:57
So the European Parliaments are just puppets.

684
1:51:57 --> 1:52:02
They execute. And their orders, they come from above.

685
1:52:02 --> 1:52:07
Yes, so the European Union, Danny, I think you probably know about this better than I do.

686
1:52:07 --> 1:52:11
But the European Union is composed of, is it eight entities?

687
1:52:11 --> 1:52:20
And of course, the average citizen in the EU, you know, of the countries comprising the EU,

688
1:52:20 --> 1:52:25
they have no idea about the, in fact, I had trouble to name them now.

689
1:52:25 --> 1:52:28
I did know them at one stage. The European Parliament.

690
1:52:28 --> 1:52:31
You've got the Council of Europe, got the European Council.

691
1:52:31 --> 1:52:38
You've got the audit group. I can't remember what that's called.

692
1:52:38 --> 1:52:40
Maybe you know the rest here.

693
1:52:40 --> 1:52:41
I did know them.

694
1:52:41 --> 1:52:45
It is a complete word salad.

695
1:52:45 --> 1:52:51
Yes, exactly. So if you don't know the names of the entities, how can you possibly hold them to account?

696
1:52:51 --> 1:52:59
So it seemed to me that it was deliberate that they'd created this very complicated top-down structure, if you like.

697
1:52:59 --> 1:53:10
So the citizens with intent had been deprived of the possibility of ever holding the European Union to account.

698
1:53:10 --> 1:53:17
So, but with regard to what you were talking about, Danny, that you knew a part of what they were doing,

699
1:53:17 --> 1:53:20
but you didn't know the whole thing.

700
1:53:20 --> 1:53:29
That tells me that there was bad intent because crime, you know, these complicated crimes,

701
1:53:29 --> 1:53:36
they always get people working for them and tell them a little bit of information, the need to know, you know, and the same in the military.

702
1:53:36 --> 1:53:43
And very few people know the whole plan. So, yes.

703
1:53:43 --> 1:53:55
Yes, it is fully premeditated and the schedule has been set up and the scenario has been laid out in the 60s.

704
1:53:55 --> 1:54:00
And since the 60s, they are just executing the plan.

705
1:54:00 --> 1:54:07
So, Danny, you knew about computers and in particular, you know about computers, software, as I understand it.

706
1:54:07 --> 1:54:19
So what do you, so do you think that the people who shall we say at least influence the world, the way the world is run, you know,

707
1:54:19 --> 1:54:27
running the world, if you like, do you think that they know that the idea about computers is not so much about technology,

708
1:54:27 --> 1:54:41
but it's actually to use computers and mobile phones, if you like, to essentially trap the people, to make them prisoners of the technology, if you like.

709
1:54:41 --> 1:54:55
So it's not so much about advancing GDP and all that, you know, it's more to get people dependent on computers, which they will never be able to understand.

710
1:54:55 --> 1:55:09
Yeah, it is about demifying the people. So I've been lecturing a certain class and the I've seen the students get dumber and dumber every year.

711
1:55:09 --> 1:55:17
So the exercise was always the same. It was based on what happens in the Second World War with submarines.

712
1:55:17 --> 1:55:22
So you have radio transmitters and the submarines are the radio receivers.

713
1:55:22 --> 1:55:32
So what the students had to implement was the secure communication system between the base and the headquarters and the submarine.

714
1:55:32 --> 1:55:48
And the exercise has always been the same. And they were not able to complete the exercise by the end of the academic year due to their degraded capabilities.

715
1:55:48 --> 1:56:01
So their their capabilities and so mathematical skills, computer skills, it's really deteriorated in every five years.

716
1:56:01 --> 1:56:05
It is unbelievable. Yeah. And the reason why. Sorry.

717
1:56:05 --> 1:56:21
The reason why that skills that has deteriorated is because of the exchange programs between universities internationally.

718
1:56:21 --> 1:56:29
So there is something like the Erasmus program where you have exchange students from Romanian University.

719
1:56:29 --> 1:56:47
They can come to France and vice versa. And in the old days until 2020, until 2000, the scores of a student when they took exams was basically in three levels.

720
1:56:47 --> 1:56:53
You had 10 out of 20, 12 out of 20 or 14 out of 20.

721
1:56:53 --> 1:57:08
And when you had to retake some exams because you failed in the first session of exams in August, you had to retake a couple of exams.

722
1:57:08 --> 1:57:14
You had to redo all the exams for which you had less than 12.

723
1:57:14 --> 1:57:28
If you had to retake your complete year due to circumstances, you had to retake all the classes for which you did not have 14 out of 20.

724
1:57:28 --> 1:57:46
Out of 20. And since 2000, that's the point issuing mechanism has changed so that once you get 10 out of 20, you are free of that class forever.

725
1:57:46 --> 1:57:55
So they've lowered the bar extremely low. And that is the reason why students have become dumber and dumber.

726
1:57:55 --> 1:58:10
Because the threshold of 10 out of 20 is a really low threshold. So professors are tempted to make from a 9 out of 20, a 10 out of 20.

727
1:58:10 --> 1:58:17
So they are increasing the scores of the bad students.

728
1:58:17 --> 1:58:23
And I've been working in the engineering department.

729
1:58:23 --> 1:58:30
So do you want to get an electronic system? And so it was the electronics engineering department that I worked at.

730
1:58:30 --> 1:58:37
But the same applies to the medical doctors, the same applies to civil engineering that are building constructions.

731
1:58:37 --> 1:58:53
Do you want to have a bridge built by a student, professional that has received his degree and actually never really succeeded in taking successful exams?

732
1:58:53 --> 1:59:00
So, Danny, what you're saying is that outstanding ability is never rewarded these days.

733
1:59:00 --> 1:59:07
And that's really serious. If you're just getting people through the exam, you never identify.

734
1:59:07 --> 1:59:16
And therefore you never encourage the people who very often need the most encouragement, the brightest, the brilliant people.

735
1:59:16 --> 1:59:30
And any society needs the brightest people operating air traffic control systems, for example, or being the pilots, because so many lives depend on those people.

736
1:59:30 --> 1:59:32
Yes.

737
1:59:32 --> 1:59:37
But then you've got the DEI. I've been reading about Air India.

738
1:59:37 --> 1:59:42
They had two crashes in 2018 and 2019. One of them was in Ethiopia.

739
1:59:42 --> 1:59:46
I can't remember where the other one was. Bangladesh, maybe.

740
1:59:46 --> 1:59:48
No, it wasn't Bangladesh. It was somewhere else.

741
1:59:48 --> 1:59:56
But anyway, they paid. So just before the Air India crash, the Boeing, Boeing this is now I'm talking about.

742
1:59:56 --> 2:00:01
There was two in 2018 and 2019.

743
2:00:01 --> 2:00:18
And just before the third one recently in Air India, sorry, Air India, they the Boeing paid out one billion pounds to the families of the people who were killed in those two crashes.

744
2:00:18 --> 2:00:22
There are about 300, I think, in total.

745
2:00:22 --> 2:00:34
But before that happened, there was a judge in America somewhere who realized that Boeing and the United States government had DEI considerations.

746
2:00:34 --> 2:00:46
And for that reason, he would not rubber stamp the deal that had been battered out, you know, between the families and Boeing.

747
2:00:46 --> 2:00:52
So and the public are only just so I'm only just finding out about DEI.

748
2:00:52 --> 2:01:00
So I've I saw a bit of it in a helicopter crash in Washington, D.C., days after Trump came to power.

749
2:01:00 --> 2:01:03
I didn't really understand until then.

750
2:01:03 --> 2:01:07
And Trump talking, you know, as he does to transparency, allegedly.

751
2:01:07 --> 2:01:23
But I think he's operating maybe, you know, some kind of education program to to tell because he keeps repeating stuff and make and so does Caroline Leavitt as well, you know, if they're on the right side, I think they may be doing that.

752
2:01:23 --> 2:01:29
But anyway, I wanted to put this to you, Danny, because you're a computer expert.

753
2:01:29 --> 2:01:38
But so just as calculators took people's ability away from them to do mental arithmetic.

754
2:01:38 --> 2:01:41
So people can't do mental arithmetic these days.

755
2:01:41 --> 2:01:47
So I was very good at arithmetic in particular, but it mass as well.

756
2:01:47 --> 2:01:53
But particularly arithmetic and mental arithmetic specifically, I was very good in my table.

757
2:01:53 --> 2:01:59
So 1515s are 225, 1717s, 289.

758
2:01:59 --> 2:02:03
I know these things and people think it's crazy.

759
2:02:03 --> 2:02:07
But it's just natural for me. I never would use a calculator.

760
2:02:07 --> 2:02:18
I realized if I started using a calculator, there was at least a popular possibility that I would lose my ability to do the mental arithmetic, which I have.

761
2:02:18 --> 2:02:26
And I wonder, looking at artificial intelligence, and I've been using it recently.

762
2:02:26 --> 2:02:30
And I'm really amazed at how.

763
2:02:30 --> 2:02:35
So I think what's very important about artificial intelligence, Danny, but I'm not a computer expert.

764
2:02:35 --> 2:02:41
But it seems to me that this isn't emphasized by people who are computer experts.

765
2:02:41 --> 2:02:47
But if it's true, artificial intelligence is absolutely brilliant.

766
2:02:47 --> 2:02:51
It's not great at thinking and it's not very intelligent.

767
2:02:51 --> 2:03:07
But if you feed stuff into it, facts or facts, as far as human beings are capable of identifying facts, if you feed reliable stuff into it, it keeps it in its head, if you like.

768
2:03:07 --> 2:03:14
And the thing about AI, which is amazing, is that it can outperform any human being as far as memory goes.

769
2:03:14 --> 2:03:24
So if you feed a load of interesting or important stuff into AI, it doesn't forget.

770
2:03:24 --> 2:03:32
And even days later, you can find you know, it'll remember that you've told it that long ago, you know, in the concert.

771
2:03:32 --> 2:03:47
So I wonder whether the whole thing about artificial intelligence is to get people using artificial intelligence so they can't think anymore rather like calculators, you know, get away from their mental arithmetic so they don't understand figures.

772
2:03:47 --> 2:03:51
So I'm thinking that and I wonder what you think about that.

773
2:03:51 --> 2:03:54
Yeah. So you're a radiologist.

774
2:03:54 --> 2:04:15
Half a year ago in Belgium, it was in the news that the protocol that typically is produced and that is validated by two radiologists independently, they were going to use only one radiologist and the other one would be replaced by AI.

775
2:04:15 --> 2:04:17
Wow, yes, I heard this.

776
2:04:17 --> 2:04:28
Yeah, so the problem that comes with that move is that the remaining radiologists will become very lazy.

777
2:04:28 --> 2:04:33
He will become dependent on the report that is presented to him.

778
2:04:33 --> 2:04:34
Exactly.

779
2:04:34 --> 2:04:48
He will not have the hands on experience to identify specific remarkable issues that usually they would have debated with his colleagues.

780
2:04:48 --> 2:04:59
But the, the AI system has, it's basically a database lookup system. So it has unlimited knowledge.

781
2:04:59 --> 2:05:03
As long as you feed it.

782
2:05:03 --> 2:05:05
The knowledge.

783
2:05:05 --> 2:05:09
So it knows everything that it has been fed.

784
2:05:09 --> 2:05:19
It doesn't know anything that has not been fed, so it cannot learn something new or come up with something spontaneously.

785
2:05:19 --> 2:05:25
But the human, they can accommodate what they see.

786
2:05:25 --> 2:05:38
And as the radiologist is going to be very lazy, and he will receive the protocol from the AI system, he will just sign it off without looking at it very closely.

787
2:05:38 --> 2:05:40
The same applies.

788
2:05:40 --> 2:05:42
Stephen, that's 18 minutes already.

789
2:05:42 --> 2:05:44
Well, yeah, but I'm not speaking.

790
2:05:44 --> 2:05:46
No, I'm just letting you know.

791
2:05:46 --> 2:05:49
Yeah, well, I know I don't need to.

792
2:05:49 --> 2:05:54
I know it's approximately that, Charles, I've got an internal clock.

793
2:05:54 --> 2:05:58
I don't look at my watch. But anyway, go ahead, Danny, nearly finished.

794
2:05:58 --> 2:06:03
Yeah, the same goes for using a GPS system in your car.

795
2:06:03 --> 2:06:17
So as soon as you depend on the GPS system, you lose the ability to find your way in a city or in a new town or whenever there is some.

796
2:06:17 --> 2:06:19
It is premeditated.

797
2:06:19 --> 2:06:21
So is the agenda to take people?

798
2:06:21 --> 2:06:26
Wait a minute, Charles, I'm trying to drive home a point.

799
2:06:26 --> 2:06:27
It's going to take a minute.

800
2:06:27 --> 2:06:49
OK, is the agenda, Danny, to take people away from their humanity through computers and mobile phones and all the tech, you know, to blind them, dazzle them, you know, and impress them so that they actually lose their humanity and their ability to think and they can't do their times tables anymore.

801
2:06:49 --> 2:06:52
Yes, it is completely premeditated.

802
2:06:52 --> 2:07:00
So you have to know that the books that are used in schools, they are not written one or two years before.

803
2:07:00 --> 2:07:10
It really takes the publishers something like five years beforehand in order to be able to provide the markets with what is demanded.

804
2:07:10 --> 2:07:14
So it is all kind of puppeteering.

805
2:07:14 --> 2:07:22
The ministries of education, they will now announce that they will introduce some improvements.

806
2:07:22 --> 2:07:30
But the quality of the students, the quality of the pupils, the quality of the children is going down extremely fast.

807
2:07:30 --> 2:07:40
And the only way the only way that that could be solved is by going back and using the books of 30 and 40 years ago.

808
2:07:40 --> 2:07:46
We have to throw away all the books that are being used in schools.

809
2:07:46 --> 2:07:48
It's nonsense. Yeah, I agree with you.

810
2:07:48 --> 2:07:50
Come on, that's enough.

811
2:07:50 --> 2:07:55
So Charles, I have to say this, for the sake of two minutes, there's absolutely no point.

812
2:07:55 --> 2:07:57
It's already 20 minutes.

813
2:07:57 --> 2:07:59
No, you've had yours.

814
2:07:59 --> 2:08:04
For the sake of two minutes, there's absolutely no point in you interrupting the guest when you were speaking, as you did.

815
2:08:04 --> 2:08:05
Come on, come on.

816
2:08:05 --> 2:08:07
Two minutes later, I was going to finish anyway.

817
2:08:07 --> 2:08:09
Stop it.

818
2:08:09 --> 2:08:11
No, I won't stop it.

819
2:08:11 --> 2:08:13
It happens every week, though.

820
2:08:13 --> 2:08:14
Correct.

821
2:08:14 --> 2:08:16
Marv, you're next.

822
2:08:16 --> 2:08:18
What happens every week?

823
2:08:18 --> 2:08:20
You wait 15 minutes, David.

824
2:08:20 --> 2:08:22
It's 15 minutes, not 20 minutes.

825
2:08:22 --> 2:08:24
There are people with their hands up.

826
2:08:24 --> 2:08:26
Are we such time slaves?

827
2:08:26 --> 2:08:28
Hey, Danny, I want to ask.

828
2:08:28 --> 2:08:29
Danny.

829
2:08:29 --> 2:08:35
Charles, if you don't understand that we don't want to be time slaves.

830
2:08:35 --> 2:08:43
Anyway, I want to ask Danny, I just love that research, all that research you did on the Vax.

831
2:08:43 --> 2:08:57
Have you looked at the Sinopharma Chinese technology of their vaccines and compared the, I don't know what to call it, the toxicity of the mRNA?

832
2:08:57 --> 2:09:05
If you've looked at that Sinopharma technology and compared them to the mRNA, would you comment on that, please?

833
2:09:05 --> 2:09:07
Thank you.

834
2:09:07 --> 2:09:08
Yeah.

835
2:09:08 --> 2:09:16
So I didn't look at any of these specific ones, but basically at the higher level.

836
2:09:16 --> 2:09:28
And if you look at what has been used in India, in Russia by the Chinese, it all contains the same core toxins.

837
2:09:28 --> 2:09:36
So it has been premeditated very many years, many years ago.

838
2:09:36 --> 2:09:49
And they have been prepared so that they could roll it out using independent technologies, but basically all containing the same toxins.

839
2:09:49 --> 2:09:55
You mean the adjuvants are the, you're referring to those as the toxins, the adjuvants that they...

840
2:09:55 --> 2:09:58
Yeah, the adjuvants are a different story.

841
2:09:58 --> 2:10:06
So the adjuvants are toxic by nature, but what I was referring to was the spike proteins.

842
2:10:06 --> 2:10:25
So they have been primed way before 2019 so that they would produce in 2020 all applications in their production processes.

843
2:10:25 --> 2:10:31
But actually they all did exactly the same thing.

844
2:10:31 --> 2:10:33
Very good. Thank you.

845
2:10:33 --> 2:10:41
So may I ask who was complaining that it happens every week? Who was that?

846
2:10:41 --> 2:10:43
Steven, when you go longer...

847
2:10:43 --> 2:10:51
Sorry, Tom. I just want to know the answer to that question. Who was the person who said it happens every week?

848
2:10:51 --> 2:11:12
So I suggest that that person, if they don't like, if he or she, it was a she, doesn't like this group and the way I try to do it, I'm trying to do my best, then he, sorry, she should go to another group, find another group or create a group of her own.

849
2:11:12 --> 2:11:15
Thank you.

850
2:11:15 --> 2:11:24
Steven, you have to use a period. You got to put a period at the end of your points.

851
2:11:24 --> 2:11:30
They're difficult points as I'm sure Danny would support me. Thank you so much for talking to Danny.

852
2:11:30 --> 2:11:36
You're welcome. Thanks for having the opportunity.

853
2:11:36 --> 2:11:40
So, Charles, are you there or not?

854
2:11:40 --> 2:11:48
Oh, Jesus. Okay, Andrish Brunstad, you've waited a long time, Andrish.

855
2:11:48 --> 2:11:54
Yes, it was really great to listen to you, Danny.

856
2:11:54 --> 2:12:13
I think you made a lot of great discoveries in a long timeline and you made a lot of great analysis through the Covid and I did the same. I've been on to it for about four or five years.

857
2:12:13 --> 2:12:37
I would comment what I can say that your analysis based on those 75, 85 plus age group

858
2:12:37 --> 2:12:49
really matches my finding, but slightly different, let's say, validation of what we see.

859
2:12:49 --> 2:12:58
You didn't. Yes, you mentioned initially the factor of vitamin D.

860
2:12:58 --> 2:13:14
I did mention one of the Belgian stars, which is my star, and he's really he was in the Norwegian University of Trondheim and he was pushed out.

861
2:13:14 --> 2:13:24
And this is just an example of this and the vitamin D, which you pointed to, is very important.

862
2:13:24 --> 2:13:34
And it goes with zinc and it goes with some other, let's say, like green tea extract.

863
2:13:34 --> 2:13:39
It was Selinski protocol.

864
2:13:39 --> 2:13:57
What is the situation, in my opinion, after my analysis for five, four or five years, is that you miss this one point, which is that there is 140 million people dead.

865
2:13:57 --> 2:14:19
Since 2012, following the 4G, 5G launch, and now we have the Dutch and German mainly 5G and a half, 26 gigahertz launch with a massive increase of mortality.

866
2:14:19 --> 2:14:32
And you do not seem to see this yet, but you are pointing to the Mac and there are three others who point to the Mac.

867
2:14:32 --> 2:14:37
It's bluetruth.com.

868
2:14:37 --> 2:14:41
It is La Quinta Colonna in Spain.

869
2:14:41 --> 2:14:48
It is a Dutch, Belgium or Swiss, German Luxembourg group.

870
2:14:48 --> 2:14:51
They also find the same what you find.

871
2:14:51 --> 2:15:01
And some people asked for in the chat and whether this is exclusive to the jabbed.

872
2:15:01 --> 2:15:10
And I would say to my knowledge and I think to your knowledge, this is completely unique for the jabbed people.

873
2:15:10 --> 2:15:16
To me, it looks like it's the second, third jab, which goes to this bluetruth.

874
2:15:16 --> 2:15:21
And the bluetruth means that your body is magnetic.

875
2:15:21 --> 2:15:29
It is electromagnetic and it receives and sends signals and people are dying because of that.

876
2:15:29 --> 2:15:34
And this is something which is hidden, maybe.

877
2:15:34 --> 2:15:40
But this is something which is very important to understand that.

878
2:15:40 --> 2:15:50
I mean, it was a video from my good friend Robert Oldham Young from his prison cell in California, I think yesterday.

879
2:15:50 --> 2:16:02
And he pointed out that most of the people who are dying now in excess, it is due to 4G, 5G mortality, excess mortality,

880
2:16:02 --> 2:16:06
which is exactly what I've been researching for the last four or five years.

881
2:16:06 --> 2:16:09
And I ask you for this.

882
2:16:09 --> 2:16:25
Have you gone into this analysis of the correlation and significant correlation, increasing correlation from 4G to 5G, from lower to higher frequencies?

883
2:16:25 --> 2:16:41
Have you seen that this is the major kill factor along with what you pointed out to the low D factor, which is increasing with age and your high,

884
2:16:41 --> 2:16:43
the 85 plus being women.

885
2:16:43 --> 2:16:47
Well, the women is those who survive the longest.

886
2:16:47 --> 2:16:50
So they were the ones who died the most.

887
2:16:50 --> 2:16:57
So they have the lowest D and they are exposed to radiation.

888
2:16:57 --> 2:17:00
And if you don't have enough D, you are most exposed.

889
2:17:00 --> 2:17:05
What is your comment to that?

890
2:17:05 --> 2:17:08
Yeah, I can confirm that.

891
2:17:08 --> 2:17:18
So I have also gotten COVID or I've been ill, whatever you can call COVID.

892
2:17:18 --> 2:17:34
And the reason why I was ill was due to the fact that I changed from my normal habitat to a habitat where there was different radiation settings.

893
2:17:34 --> 2:17:39
So it all has to do with the rate of change.

894
2:17:39 --> 2:17:49
So when you move very quickly from one location where you are used to and you move to the location that you are not used to,

895
2:17:49 --> 2:17:55
basically my body was not able to accommodate the rate of change.

896
2:17:55 --> 2:17:58
And as a consequence, I got ill.

897
2:17:58 --> 2:18:04
So what I did in order to recover from it, I was ill for five days.

898
2:18:04 --> 2:18:16
So the first day I...

899
2:18:16 --> 2:18:17
I'm losing you.

900
2:18:17 --> 2:18:19
The audio is not too good.

901
2:18:19 --> 2:18:23
Yeah, now your network is in trouble.

902
2:18:23 --> 2:18:25
Maybe turn the video off.

903
2:18:25 --> 2:18:31
I was ill for five days.

904
2:18:31 --> 2:18:34
We're having trouble hearing you again.

905
2:18:34 --> 2:18:35
So if it turns...

906
2:18:35 --> 2:18:38
So I had COVID for two days.

907
2:18:38 --> 2:18:40
I was in Warsaw and it was the same story.

908
2:18:40 --> 2:18:41
I moved habitat.

909
2:18:41 --> 2:18:42
I moved out.

910
2:18:42 --> 2:18:45
I went to a high 5G network.

911
2:18:45 --> 2:18:57
And I think you almost told the same, but you need to specify if you move to urban to rural or vice versa.

912
2:18:57 --> 2:19:00
The high radiation is in the cities.

913
2:19:00 --> 2:19:01
Do you agree?

914
2:19:01 --> 2:19:02
Yes, indeed.

915
2:19:02 --> 2:19:05
So I was...

916
2:19:05 --> 2:19:15
It can also from urban to urban is also a possibility because the difference may change.

917
2:19:15 --> 2:19:20
And if the difference happens too quickly, then you get screwed.

918
2:19:20 --> 2:19:22
That is what happened to me.

919
2:19:22 --> 2:19:25
So the way I solved it, it is...

920
2:19:25 --> 2:19:33
I didn't mention it during my presentation, but it was mentioned on the slides with respect to the vitamin D.

921
2:19:33 --> 2:19:43
It was actually a combination of vitamin D, quercetin, zinc and vitamin C, all in reasonably high doses.

922
2:19:43 --> 2:19:47
And that is what got me through the...

923
2:19:47 --> 2:19:50
And I recovered within five days.

924
2:19:50 --> 2:19:55
So the first two days my fever was going up.

925
2:19:55 --> 2:20:05
Then I had the top fever day, which was on day three, and the top fever day that was just below 40 degrees Celsius.

926
2:20:05 --> 2:20:14
And then the two subsequent days, so day four and day five, my fever dropped back.

927
2:20:14 --> 2:20:19
And from day six on, I was normal as if nothing had happened.

928
2:20:19 --> 2:20:30
I kept continuing my intake of vitamin D, quercetin, zinc and vitamin C in serious doses.

929
2:20:30 --> 2:20:34
And that is basically what solved my issues.

930
2:20:34 --> 2:20:44
So I got ill due to the introduction into a new EMF intensity and the vitamin D, etc.

931
2:20:44 --> 2:20:47
That is what got me up.

932
2:20:47 --> 2:20:52
Do you know Dr Simon Goddard? He is also a specialist in vitamin D.

933
2:20:52 --> 2:20:54
No.

934
2:20:54 --> 2:20:58
He is like the other one. He is one of the top two or three.

935
2:20:58 --> 2:21:01
So he tells the same like what you told about the other.

936
2:21:01 --> 2:21:05
But okay, thank you very much, Danny. Good answer.

937
2:21:05 --> 2:21:07
You're welcome.

938
2:21:07 --> 2:21:11
So Tom Rodman is next.

939
2:21:11 --> 2:21:16
You're muted, Tom.

940
2:21:16 --> 2:21:23
Still muted, Tom.

941
2:21:23 --> 2:21:38
Sorry. Yeah, keyboard wasn't working for something weird.

942
2:21:38 --> 2:21:41
Anyhow, yes. Can you hear me?

943
2:21:41 --> 2:21:42
Yes.

944
2:21:42 --> 2:21:47
Okay. Yeah. Thanks. Thanks so much, Danny.

945
2:21:47 --> 2:21:52
You and I have talked a few times. I appreciate what you do.

946
2:21:52 --> 2:21:56
How do you feel about that code?

947
2:21:56 --> 2:22:01
I mean, it's just a script, but I mean, is the licensing just your public domain?

948
2:22:01 --> 2:22:07
Can we put that in Telegram for people to use the Sniffer code?

949
2:22:07 --> 2:22:10
No, it's okay. Nobody.

950
2:22:10 --> 2:22:19
Okay. And then, you know, along that line, since you work in software so much, you know, dear to my heart is the licensing of software.

951
2:22:19 --> 2:22:24
I have a list of things, so you can either ignore or comment on them.

952
2:22:24 --> 2:22:29
So if you could comment on what kind of licensing you like.

953
2:22:29 --> 2:22:35
And then the other one is I just think the AI is huge.

954
2:22:35 --> 2:22:40
I dealt with some old software developers, even older than I am.

955
2:22:40 --> 2:22:51
And they were very offended when I presented a question that I had pre checked with AI and then I incorporated the AI.

956
2:22:51 --> 2:22:54
And they were always nice to me in the past.

957
2:22:54 --> 2:22:58
And they just ignored me and hijacked the thread.

958
2:22:58 --> 2:23:06
And so it's so there's a lot of resistance even amongst some software developers.

959
2:23:06 --> 2:23:10
But, you know, I know Anders has used it.

960
2:23:10 --> 2:23:19
I know Gary is working with Jason in Chicago, who's doing doing coding on using Gary's code.

961
2:23:19 --> 2:23:24
And I used I was up until late last night using it.

962
2:23:24 --> 2:23:32
And, you know, it's got these personalities that can be overly positive and it makes mistakes.

963
2:23:32 --> 2:23:37
But it but it's almost like having a coding partner.

964
2:23:37 --> 2:23:46
So I'm wondering if how do you think that's going to impact the culture of software development and society in general?

965
2:23:46 --> 2:23:57
And then on the keto issue and your health and diet, you know, I was pretty I was never a hardcore keto.

966
2:23:57 --> 2:24:00
But, you know, I was influenced by Mercola.

967
2:24:00 --> 2:24:13
I wonder what you think about Mercola's change in direction and Mercola's entirely embraced AI to the point where you almost don't hear him anymore because he's using these AI characters.

968
2:24:13 --> 2:24:23
And then along the lines of Mercola and your business, do you recommend some sort of diet tracking database software?

969
2:24:23 --> 2:24:42
And then the last thing we had a guy who weighed in last night in Telegram claiming that public private key like pretty good privacy or GNU privacy guard that that's no longer really.

970
2:24:42 --> 2:24:48
You know, trustable. And then, well, I lied. One more thing.

971
2:24:48 --> 2:24:57
I think we should have you back to go over the vote at your voting system. Did you run out of time? Were you intending to present on that?

972
2:24:57 --> 2:25:02
So, yeah, just comments on those things. Thanks.

973
2:25:02 --> 2:25:11
Yeah, I have very bad memory, so I will do my best to go through a couple of the points that you mentioned.

974
2:25:11 --> 2:25:19
But voting thing. Yes, I've included the slides of the voting in the slides that I've uploaded.

975
2:25:19 --> 2:25:31
So that is one aspect. They are quite self explanatory, but I wouldn't mind explaining it at whatever moments that people are interested in.

976
2:25:31 --> 2:25:45
About the key to think the dietary recommendations that I give to everybody is go as low car as possible, but do not be unreasonable.

977
2:25:45 --> 2:25:59
So what you have to avoid is basically fructose because it's fattened up the liver and glucose feeds and fuels all the chronic disease.

978
2:25:59 --> 2:26:08
So the fewer glucose and the fewer fructose that you eat, it will basically benefit your body.

979
2:26:08 --> 2:26:14
And that doesn't mean that you have to go to zero. That is also not what I do.

980
2:26:14 --> 2:26:24
I still eat some carbohydrates, but I mostly eat fatty protein.

981
2:26:24 --> 2:26:31
That means when I have the choice between some lean steak and a fatty steak, I will go for the fatty meat.

982
2:26:31 --> 2:26:40
I will go for the fat fish. I will go for shellfish, for seafood, whatever is available.

983
2:26:40 --> 2:26:50
So protein is the most important thing that you can eat. Most of the people that I give advice to are underweight.

984
2:26:50 --> 2:27:03
So I'm not a dietitian who is specialized in weight loss advice for a very simple reason that weight loss advice can be given in three minutes.

985
2:27:03 --> 2:27:08
You cannot earn a living with weight loss advice that works.

986
2:27:08 --> 2:27:21
What I typically do is a typical dietitian gives recommendations of what you have to eat for the next three weeks.

987
2:27:21 --> 2:27:25
Then you have to come back so that there is some repeat income.

988
2:27:25 --> 2:27:36
I give the people a document of 60 pages. It contains something like 40 pages of examples of foods that I can eat.

989
2:27:36 --> 2:27:44
It matches all the religions. It matches all the dietary biases, whether you're vegan or non-nivore or carnivore.

990
2:27:44 --> 2:27:50
I couldn't care less. If you stick to the documents, you will improve your health.

991
2:27:50 --> 2:27:59
That means the priority goes to protein. Everybody needs more than you think.

992
2:27:59 --> 2:28:09
I know very few people that require less than 100 grams of protein per day, independent of the age.

993
2:28:09 --> 2:28:16
That's basically it. That is the first step. The second step is...

994
2:28:16 --> 2:28:22
What about seed oil? Mercola is really big on the limit.

995
2:28:22 --> 2:28:31
That is the second point. The first point is protein. That is really the core thing that you have to keep in mind.

996
2:28:31 --> 2:28:39
100 grams is really the minimum for everybody. The heavier you are, the more protein you will need.

997
2:28:39 --> 2:28:57
The second point is seed oil. It is called seed oil, but it's actually oil from all meats, beans, nuts, grains, and it's five things in total.

998
2:28:57 --> 2:29:11
Pits, nuts, beans, seeds, and grains. All the oil from these things you have to avoid for a very simple reason.

999
2:29:11 --> 2:29:21
They contain lots of omega-6s, and omega-6 promotes inflammation. You have to reduce inflammation risks.

1000
2:29:21 --> 2:29:33
If you just stick to the fats from animal origin, I don't care which animals, that is fine.

1001
2:29:33 --> 2:29:49
There are four fruits from which the oil is also fine. That is olives, coconuts, avocados, and the fourth is palms.

1002
2:29:49 --> 2:30:01
Palm oil, coconut oil, olive oil, and avocado oil, these are fine. But you can best not heat them up.

1003
2:30:01 --> 2:30:10
Always use the oils from fruits at room temperature, and use them as a flavoring.

1004
2:30:10 --> 2:30:24
You can use coconut oil for frying and baking and whatever you like, but I wouldn't even go for heating up the olive oil.

1005
2:30:24 --> 2:30:34
Many people recommend olive oil to be used for cooking, but I don't do that for a very simple reason, that they still contain the omega-6s.

1006
2:30:34 --> 2:30:52
The fewer omega-6s, the better. Then you also have a question with respect to a chronometer or a log to calculate whatever type of macros or micronutrients.

1007
2:30:52 --> 2:31:06
In the old days, so in 2018 when I started investigating things with smart watches, I even have a demo.

1008
2:31:06 --> 2:31:21
The reason why I have an Italian friend that I made a website for was that Italian friends, I used him as a guinea pig to develop my software in 2018,

1009
2:31:21 --> 2:31:34
in which I was using smart watches for calibrating the amount of activity that the people were doing.

1010
2:31:34 --> 2:31:45
So I've designed an online software system, which is actually professional quality, to follow up people fully automated.

1011
2:31:45 --> 2:31:56
I have refrained from it, and I'm no longer using it and I'm no longer investing time in it, because it is extremely privacy infringing.

1012
2:31:56 --> 2:32:04
I want to stick to my own rules and I want to protect people's privacy.

1013
2:32:04 --> 2:32:16
And by using smart watches and everything that you can learn from it, it is extremely not privacy friendly.

1014
2:32:16 --> 2:32:28
So the bottom line is that I do no longer recommend any log of whatever you eat or whatever exercise that you do,

1015
2:32:28 --> 2:32:40
for the very simple reason that it doesn't matter what number of calories that you eat, the what you eat is much more important than the amount you eat.

1016
2:32:40 --> 2:32:46
And when you eat it and how you eat it is much more important than the what you eat.

1017
2:32:46 --> 2:32:53
Danny, can I interrupt? That's all great, but I just thought of something.

1018
2:32:53 --> 2:33:04
What about a software identity management system where in the user owns his own identity in a federated database?

1019
2:33:04 --> 2:33:11
We're all familiar with registering and setting up a new account for some sort of a system.

1020
2:33:11 --> 2:33:18
Is there an alternative way? Like, I think there is a tool for making phone calls.

1021
2:33:18 --> 2:33:31
I'm blanking out on the name, but, you know, is there a we're all used to registering the account and then they they have these data breaches and all our identity metadata gets exposed.

1022
2:33:31 --> 2:33:34
Can you envision a better way to do things?

1023
2:33:34 --> 2:33:38
Yeah, so I'm working on a system that is using cookies.

1024
2:33:38 --> 2:33:56
So the cookies are stored at the site and the server only uses the cookie when it is presented to do some some calculations and the outcome of the calculation is stored at the user sites in a new updated cookie.

1025
2:33:56 --> 2:34:13
So that is the way I am dealing with trying to get away from privacy issues because I do not want to store on my servers any privacy critical information.

1026
2:34:13 --> 2:34:20
I only want to store the privacy critical information on the user's computer and it is their responsibility.

1027
2:34:21 --> 2:34:25
If they remove their cookies, it's their problem.

1028
2:34:29 --> 2:34:31
Yeah.

1029
2:34:31 --> 2:34:37
So, okay, so I think Jim is next.

1030
2:34:37 --> 2:34:41
Hey, thank you.

1031
2:34:41 --> 2:34:45
Thanks very much, Danny.

1032
2:34:45 --> 2:34:49
Good presentation. You touched on a lot of subjects.

1033
2:34:49 --> 2:35:03
And I wanted to first ask if you if I don't know if you're familiar with the Deagle report. That is, that is, and I put it in the chat.

1034
2:35:03 --> 2:35:11
Severe drop in populations in the six eyes countries.

1035
2:35:11 --> 2:35:29
How do you what do you think is going to cause that if you think it's going to be triggered. And what is the prophylaxis and antidote, especially if it's hemorrhagic bleeding from the nose shortness of breath, especially with the IV shortage of fluids from Baxter

1036
2:35:29 --> 2:35:37
healthcare Baxter has shortage of fluid shortage of IV fluids Baxter bags.

1037
2:35:37 --> 2:35:52
So how are we going to deal with this. What do you propose the antidote is understanding your theory about parasites and the anti parasitics being the antidote in the past.

1038
2:35:52 --> 2:35:58
Yeah, so, the way I see it is like

1039
2:35:58 --> 2:36:04
two compounds or a three compounds epoxy system.

1040
2:36:04 --> 2:36:21
So, people have been jobs with flu shots with COVID shots with HPV shots with really many different kinds of pseudo vaccinations in the past five to 10 years.

1041
2:36:21 --> 2:36:35
And the way I think the the illnesses are created is by having a certain ratio between the different compounds.

1042
2:36:35 --> 2:36:50
Are you familiar with epoxy glue or epoxy insulation material. So, the two or the three compounds, they are inert, as long as they are not mixed.

1043
2:36:50 --> 2:37:01
As soon as they are mixed in the correct proportions, they react with each other. And then there is something that will be created.

1044
2:37:01 --> 2:37:21
And that is the way that I see the vaccines are acting. So the people that have had the fibrous clots in their veins, post mortem and even pre mortem and anti mortem.

1045
2:37:21 --> 2:37:35
I believe that they have been fed, not really fed by mouth, but by injection with enough of the materials.

1046
2:37:35 --> 2:37:49
As soon as the right proportions are met or reached, they start to react with each other. So that is the way that I see it's actually happening.

1047
2:37:49 --> 2:38:05
And the EMF, whether it is EMF from 4G or 5G, I don't know. And it is most likely 4 and 4 and a half and 5G that is activating the reaction.

1048
2:38:05 --> 2:38:18
May I interrupt you for a second? I was asking what the antidote and prophylaxis is rather than the cause, because it's my understanding that even the unvaccinated are not.

1049
2:38:18 --> 2:38:29
The unvaccinated are some getting early cancers and even the unvaccinated, even before the vaccine was available, were dying of what they termed COVID.

1050
2:38:29 --> 2:38:34
So what is the antidote and what is the prophylaxis for the next thing to come?

1051
2:38:34 --> 2:38:44
Yeah, so the answer lies in the fact that the ratio needs to be met so that the two or three compounds react with each other.

1052
2:38:44 --> 2:38:56
So what we have to do is basically as a prophylaxis or the antidote, basically prophylaxis and antidote are very good friends in these cases.

1053
2:38:56 --> 2:39:12
So for instance, the methylation, we have to make sure that some of these compounds are just getting inert and staying inert so that they cannot react with the other stuff that circulates in the blood.

1054
2:39:12 --> 2:39:25
So if we can prevent that reaction from starting by screwing up the ratios, that is, from my point of view, what we have to work on.

1055
2:39:25 --> 2:39:30
Are you familiar with Nidazoxanide as an antiparasitic?

1056
2:39:30 --> 2:39:43
Yes, but I'm not a medical doctor. I know it because Limerit mentions it already since 2021, 2022 on our slides.

1057
2:39:43 --> 2:39:50
But I'm not a prescriber, so I do not have hands-on experience with it.

1058
2:39:50 --> 2:40:06
And tying all your topics together, you talked about the election interference, you talked about Bitcoin, and you talked about the COVID. All these three seem to be tied together by the intelligence agencies, six sides as it were.

1059
2:40:06 --> 2:40:18
Bitcoin seems to be an intelligence operation. We don't know who did it is the hallmark of saying they did it. We don't know who made Bitcoin, we don't know who made the COVID.

1060
2:40:18 --> 2:40:32
We don't know who blew up the Nord Stream 2 pipeline with nuclear weapons. It seems to be all the intelligence networks. How do we stop them in a respectful way so that we're not targeted for death?

1061
2:40:32 --> 2:40:35
Yeah.

1062
2:40:35 --> 2:40:41
Unfortunately, my default response would have been the gallows.

1063
2:40:41 --> 2:40:53
But that doesn't meet your criteria. So the only way that we can get out of the mess that we are in is by really removing them from their power.

1064
2:40:53 --> 2:41:12
But they will not get, they will not resign spontaneously. We need a kind of a revolution so that they, and we need something like five or six hundred people that need to be removed from their positions.

1065
2:41:12 --> 2:41:32
So that's the bottom line of the management structure can be actually managed by people that are not that evil.

1066
2:41:32 --> 2:41:45
So the top parts of the management structures are extremely evil and they have been preparing this since the 60s.

1067
2:41:45 --> 2:41:56
Thank you. And Stephen, interrupt me if I've gone too long, but the AI issue of controlling or making the AI tell the truth.

1068
2:41:56 --> 2:42:17
Anytime we sign a legal document, we have to subject ourselves to punishment if we are knowingfully lying. Shouldn't every AI be subjected to that same clause? If it is knowingly lying or programmed to lie to us, then it has to be subject to punishment by self-elimination.

1069
2:42:17 --> 2:42:23
That AI must be removed from the face of this earth. Can we do that to the AI to make it honest?

1070
2:42:23 --> 2:42:37
No, it is totally impossible. So AI is a complete hoax. So it's, as Stephen said earlier, it is something that dumps the people extremely fast.

1071
2:42:37 --> 2:42:46
You start depending on the system and as soon as you depend on the system, you have delegated your thinking power, your skills.

1072
2:42:46 --> 2:42:55
You have no idea what is actually going on because you do no longer know it and you have no longer the hands-on experience.

1073
2:42:55 --> 2:43:09
So AI should be actually completely abolished and nobody should be using it for the very simple reason that people think that they can trust it.

1074
2:43:09 --> 2:43:18
People think that they can depend on it, but it is a system that is basically protecting the consensus.

1075
2:43:18 --> 2:43:29
And the consensus is not in our favor. The consensus is what has been programmed by the 600s or maybe a thousand or maybe 300.

1076
2:43:29 --> 2:43:37
I do not know exactly how many, by the ones that, from my point of view, deserve the gallows or the guillotine.

1077
2:43:37 --> 2:43:52
So these are the ones that manage the behavior of AI. And it's not only the AI system, it is really all the education system that has been crippled.

1078
2:43:52 --> 2:44:02
All the books that have been rewritten. All the... We are in a situation that when you look at the dictionary,

1079
2:44:02 --> 2:44:11
you from your location, me from Europe, and somebody else from Africa, when you use all Merriam-Webster's dictionary,

1080
2:44:11 --> 2:44:22
they can serve you a different definition. And so the body of the definition, for a certain term, can be fine-tuned to the visitor.

1081
2:44:22 --> 2:44:33
And the same applies to all the statistics. When I download the data from Cienzano, from Vaars, from all the other systems,

1082
2:44:33 --> 2:44:45
the machinery behind it, the servers behind them, can support the customization of the data that I get.

1083
2:44:45 --> 2:44:56
So I will believe that I get today's updates from Vaars or from the CDC or from whatever official server.

1084
2:44:56 --> 2:45:06
And you download on the same moment the exact same data, and you will get something different from me.

1085
2:45:06 --> 2:45:20
So we are... Thank you, Danny. Thank you. We are in a system that supports that sort of extremely fine-tuned personalization of information.

1086
2:45:20 --> 2:45:30
Yes. Thank you. Thank you, Jim. And Andrš, did you want to say something?

1087
2:45:30 --> 2:45:44
Yes, I think Danny is spot on. I've been using XAI for four months, and I must say I consider me an expert user.

1088
2:45:44 --> 2:46:03
And it is a terrible experience where you need to upload data, data, data, because the base assumption of AI is extremely biased, extremely.

1089
2:46:03 --> 2:46:22
So but if you know how to work on it, you can get through it. But it means that 95% of people who use AI will be exposed to the MSM bias, which is programmed into all of these programs.

1090
2:46:22 --> 2:46:36
Absolutely. So this was my first story. The second story is, Danny, that I've been into all of these narratives, which you describe.

1091
2:46:36 --> 2:46:56
And I will say it is very interesting to listen to you because it is, for example, now, if you look to your... You know, I had a really interesting story with a French girlfriend.

1092
2:46:56 --> 2:47:12
She was a diabetician, really high level educated. And but however, she was exposed to many, let's say, bias, which was HIV, which was COVID, all of that.

1093
2:47:12 --> 2:47:33
So what you are talking about is that all of these biases, they are so into the narrative that nothing basically is true. Everything is a hoax. Everything is controlled by somebody.

1094
2:47:33 --> 2:47:49
And if you go to your own words where you describe carbon, which is, let's say, if you eat sugar, if you eat vegetables, it's supposed to be bad.

1095
2:47:49 --> 2:48:04
And probably it is. But let's say the story is that this is... You have the carbon, which you say carb, which includes sugar.

1096
2:48:04 --> 2:48:18
And if I expand this story to my good friend Robert Alden and Young, he will say that this is about sugar. This is about carb. Carb is sugar.

1097
2:48:18 --> 2:48:30
So you are going carb, but carb is sugar. Carb is different types of sugar. So it was another story the other day.

1098
2:48:30 --> 2:48:46
There is a race to the North Pole a long time ago. It was a British guy, Scott. He died. He brought with him refined sugar.

1099
2:48:46 --> 2:49:01
And he was a researcher. Rolad Amundsen of Norway, he went to the North Pole full of, let's say, all the right stuff, meaning he listened to the Eskimos.

1100
2:49:01 --> 2:49:16
They told him, you need to eat, bring with you the fat, the meat, the kidney, all of that. And he was living, surviving, going to the North Pole.

1101
2:49:16 --> 2:49:33
Scott was dying. And this is the story, the hybrids of today. Let's say you start to believe in carb. Carb is another word for sugar or different types of this.

1102
2:49:33 --> 2:49:48
Humans, we are supposed to eat meat and fat and all of these type of, let's say, refined sugars, refined oils. They have been proven to give us bad health.

1103
2:49:48 --> 2:50:11
This is nothing new. But if you start from your story where you started, you say that there is such a bias. A bias is in the food. The food, you know, we were supposed to eat, let's say, this type of margarine, all type of things.

1104
2:50:11 --> 2:50:17
What we know now is that it was all fraud. What is your comment to that?

1105
2:50:17 --> 2:50:31
Yeah, so it all starts with the Flexner brothers. You had Abraham Flexner and you had Simon Flexner. In the 1910s, they published the Flexner reports.

1106
2:50:31 --> 2:50:52
Abraham Flexner published the reports that made sure that all the medical doctors, all the university colleges and universities that were training medical people, that they had to obey by the drug-based approach.

1107
2:50:52 --> 2:51:16
And everything that was Chinese medical interventions, herbal medical interventions, neuropathic interventions, the normal food-based interventions, all of these were considered quackery since 1910.

1108
2:51:16 --> 2:51:36
And the universities and university colleges that were training the medical personnel since 1930, they would no longer get any funding except if they obeyed by the Flexner report by Abraham Flexner.

1109
2:51:36 --> 2:51:48
So from the 1940s, so after the Second World War, many of these universities, they went bankrupt because they no longer got any funding.

1110
2:51:48 --> 2:52:00
And the ones that were going for health care, they went bankrupt and the ones that went for drugs, they flourished.

1111
2:52:00 --> 2:52:18
So if you look at the campuses of Harvard, they have been paid by the sugar industry. So there will never be any paper coming from Harvard that goes against the sugar industry.

1112
2:52:18 --> 2:52:32
So with respect to the term sugar, I immediately went back to the terms glucose and fructose for the very simple reason that sugar is 50-50 glucose and fructose.

1113
2:52:32 --> 2:52:52
If you go for honey or high fructose corn syrup, the balance between fructose and glucose are different. In honey and high fructose corn syrup, it is at least 55% fructose and 45% glucose.

1114
2:52:52 --> 2:53:06
And as I mentioned earlier, the glucose fuels all the chronic inflammation, all the chronic diseases, and fructose fuels all the fattening up of the liver.

1115
2:53:06 --> 2:53:15
And as soon as the liver is no longer functioning properly, then additional issues are going to occur in the body.

1116
2:53:15 --> 2:53:34
So that is why I say that fructose and glucose both need to be minimized. What I didn't mention is galactose. And galactose is the carbohydrate that is associated with dairy.

1117
2:53:34 --> 2:53:51
So milk, cream, cheese, all that sort of products, they are fine as far as I'm concerned, because they provide very few issues to the human body.

1118
2:53:51 --> 2:54:08
Yeah. So Anders, you're Norwegian and I'm British. So Scott was British and Amundsen was Norwegian. I think you meant the South Pole. They had the race, well it wasn't a race, but yeah, essentially they were trying to get it.

1119
2:54:08 --> 2:54:29
Yeah. It was the South Pole. But crucially Anders, Amundsen used 52 dogs. Well he had 11 at the end left, you know, who survived. He used dogs and that was, most people think that was the reason that Scott lost his life, that he didn't use dogs.

1120
2:54:29 --> 2:54:32
He used sugar.

1121
2:54:32 --> 2:54:51
Yeah, so Scott hadn't got dogs to pull all the stuff, you know, so the men were pulling their own tents and all this nonsense. And they all died. Yeah, they all died eventually. And Scott survived till, there's a brilliant book called South with Scott, which I used to read as a teenager.

1122
2:54:51 --> 2:55:09
I was absolutely fascinated by it. So Scott was in his tent 10 miles from safety, but they had a storm lasting a week in, you know, at those latitudes in the southern hemisphere and they just couldn't move and they were too weak anyway.

1123
2:55:09 --> 2:55:32
So, and he was the last to die, I think. He actually wrote in his diary. It seems a pity, but I don't think I can write anymore. For God's sake, look after our families. But Amundsen beat Scott to the South Pole.

1124
2:55:32 --> 2:55:37
Scott got there but couldn't get back. He was 10 miles short.

1125
2:55:37 --> 2:56:03
Anyway, thank you so much, Hans. So Danny, thank you for speaking to us. Can I just, so I think I hadn't realized, Danny, when I was talking about the stuff being so you feed stuff in, you know, when you're talking to, and you can be, you know, you can use your intelligence to think about how you can get the AI to doubt itself, you know.

1126
2:56:03 --> 2:56:31
But one of the things I forgot was that actually, Anders is right. So he said, I think he said that the MSM mainstream media informs the, you know, so it's biased in the sense that the thought is all mainstream and it's mainstream because actually the information fed into the AI previously, if you like, is from the mainstream media.

1127
2:56:31 --> 2:56:36
Do you understand? So is that why it's biased or are there other reasons why it's biased?

1128
2:56:36 --> 2:56:49
Well, it's actually the, I can give you an example with respect to Ansel Kees. Have you ever heard of the name Ansel Kees?

1129
2:56:49 --> 2:56:51
Sorry, what did you say?

1130
2:56:51 --> 2:56:53
Ansel Kees.

1131
2:56:53 --> 2:56:55
Ansel Kees.

1132
2:56:55 --> 2:56:59
I put it in the chat. Ansel Kees.

1133
2:56:59 --> 2:57:01
Oh, I see.

1134
2:57:01 --> 2:57:04
No, I don't know what that is. No idea.

1135
2:57:04 --> 2:57:10
So that is the man who is the root of all evil.

1136
2:57:10 --> 2:57:23
With respect to dietary recommendations from the American Health Association, American Heart Association, American Diabetes Association.

1137
2:57:23 --> 2:57:35
So he was, he had the preconception that heart disease was caused by seed oils.

1138
2:57:35 --> 2:57:50
Now you have to know the story about seed oils. I will not go into all the details, but Procter & Gamble in 1850, they produced candles and soap.

1139
2:57:50 --> 2:57:56
And they were using animal fats to produce candles and soap.

1140
2:57:56 --> 2:58:07
Now, for whatever reason, the animals, the fat of the animals got more expensive by the end of the 1800s.

1141
2:58:07 --> 2:58:13
So they started investigating how they could optimize production costs.

1142
2:58:13 --> 2:58:27
So they introduced the use of cottonseed oil, and the cottonseed oil used to be used as lubrication for the machines.

1143
2:58:27 --> 2:58:39
And they started using that lubrication oil for the candles and the soap production.

1144
2:58:39 --> 2:58:49
At a certain moment in time, there was an overproduction of cotton, so they had too much cottonseed oil.

1145
2:58:49 --> 2:58:54
So they decided, well, we are going to do something with it.

1146
2:58:54 --> 2:59:00
And they tried to feed it to humans.

1147
2:59:00 --> 2:59:15
And you have to know that if you feed cottonseeds to horses and to rabbits, they will die within three months.

1148
2:59:15 --> 2:59:23
So the cottonseeds themselves, they are toxic for horses and rabbits.

1149
2:59:23 --> 2:59:36
And without any investigation, without any analysis, without any studies, they decided that they were going to feed cottonseed oil to humans.

1150
2:59:36 --> 2:59:46
Now, humans were typically used to use butter for the cooking in the kitchen.

1151
2:59:46 --> 2:59:55
Butter is solid at room temperature, so they had to make from the oil some solid stuff.

1152
2:59:55 --> 3:00:02
And that has become the margarine. But the margarine contains trans fats.

1153
3:00:02 --> 3:00:13
And the trans fats are carcinogenic.

1154
3:00:13 --> 3:00:18
So they produce cancer when you eat them long enough.

1155
3:00:18 --> 3:00:24
And so the trans fats, they were able to reduce the amount of it.

1156
3:00:24 --> 3:00:31
And they still kept providing the people with the margarine.

1157
3:00:31 --> 3:00:40
And they convinced the people that they could substitute the butter with the margarine.

1158
3:00:40 --> 3:00:45
And so that has happened in the 1920s.

1159
3:00:45 --> 3:00:56
So from the 1920s, it takes quite some time before people start reacting to whatever they have been eating.

1160
3:00:56 --> 3:01:10
And the cottonseed oils, they were so profitable that additional types of oils have also been analyzed and introduced.

1161
3:01:10 --> 3:01:24
So the soybean oil, the mustard seed oil, the rapeseed oil, all these types of different types of oils, they are extremely difficult to produce.

1162
3:01:24 --> 3:01:29
And they are produced in an oil refinery.

1163
3:01:29 --> 3:01:38
There is very little difference between a petroleum refinery and a seed oil refinery.

1164
3:01:38 --> 3:01:46
So they use some chemicals to bind with the fats in the seeds.

1165
3:01:46 --> 3:01:54
Then they have to do some chemical analysis to extract the fatty substance from it.

1166
3:01:54 --> 3:02:00
But then they have some substance that is very toxic.

1167
3:02:00 --> 3:02:02
They have to reduce the toxicity.

1168
3:02:02 --> 3:02:09
They do that by increasing the temperature by using some steam, by boiling the stuff.

1169
3:02:09 --> 3:02:15
So they increase every time the temperature, they lower the temperature, they increase the temperature.

1170
3:02:15 --> 3:02:27
So they pulsate the temperature so that the stuff that they get from it is basically completely dead.

1171
3:02:27 --> 3:02:35
So the stuff itself has no nutritional value whatsoever.

1172
3:02:35 --> 3:02:42
And it is colorless and it has a very foul taste.

1173
3:02:42 --> 3:02:46
So it is basically quite rancid.

1174
3:02:46 --> 3:02:48
Then they have to add...

1175
3:02:48 --> 3:02:53
Let me comment on it because I know something.

1176
3:02:53 --> 3:03:14
So a long time ago in Norway, this type of margarine was developed partly from fish oil or oil from whales.

1177
3:03:14 --> 3:03:19
It was part plant animal margarine.

1178
3:03:19 --> 3:03:29
What happened later is that margarine was developed to become a plant story and it became much more toxic.

1179
3:03:29 --> 3:03:31
Do you know about that?

1180
3:03:31 --> 3:03:47
Well, what I was telling the story of Procter & Gamble, how they have worked from the animal fats via the cotton seed oil to the margarine.

1181
3:03:47 --> 3:03:59
And that is basically the main driver of illness in humans since the 1940s after the Second World War.

1182
3:03:59 --> 3:04:03
So the people do not react immediately to it.

1183
3:04:03 --> 3:04:19
It takes something like 20-25 years before the disease, the inflammation is getting over a certain threshold and starts to basically cause serious health issues.

1184
3:04:19 --> 3:04:21
And that is what you see in the graphs.

1185
3:04:21 --> 3:04:43
So let me start like that. If you went to the animal oil, if you went to the fish oil, all the oils from the 20s to 30s, 40s, it was based on much higher part of animal oil.

1186
3:04:43 --> 3:04:49
And then they changed margarine into plant oil. Do you know that?

1187
3:04:49 --> 3:04:55
Well, the story that you are telling is not the story of Procter & Gamble.

1188
3:04:55 --> 3:05:01
It is possibly true what you are saying, but that is not what I am familiar with.

1189
3:05:01 --> 3:05:11
Anyway, so Danny, can I just, we need to finish, I think. So it is 11 o'clock now, you have been going for three hours now, you must be tired.

1190
3:05:11 --> 3:05:21
So essentially, I have just made a few notes here. AI dumps people down, makes them lazy, makes them dumb, stops them thinking.

1191
3:05:21 --> 3:05:34
Life itself loses nuance. Human beings are not capable of nuance and they have no feelings left because they are not exercising, they are not using their feelings.

1192
3:05:34 --> 3:05:47
So they stop thinking and they have no feelings and that is what human, so they actually, so the whole thing could be, and you think it is, intended to take people's humanity away from them.

1193
3:05:47 --> 3:06:04
There is no reward for creativity, for example. Same story as you have got with, you know, 70% is not registered nowadays because, in some universities, you know, because they just want to get people through the exam and they don't want to reward talent.

1194
3:06:04 --> 3:06:24
So my question to you is, you said earlier that we need to remove them from their power. The question in my mind is, you know, these computers, technology, technocracy, whatever you want to call it, mobile phones, is that their power and is that what we need to resist?

1195
3:06:24 --> 3:06:33
All these, you know, so-called improvements in technology, which are leading to us losing ourselves essentially.

1196
3:06:33 --> 3:06:56
Yeah, so Jim specified that they shouldn't be killed, but I believe that the only way to get some change is by removing them from power and the most efficient way to make sure that it won't happen again is by making them expired.

1197
3:06:56 --> 3:07:16
So that is the first thing that should happen. But the people that will come in place, they should basically have our mindsets. And unfortunately, there are not that many of us.

1198
3:07:16 --> 3:07:22
So, yeah, there are very few who understand the big picture.

1199
3:07:22 --> 3:07:38
Yeah, so I'm a teacher. So I train as many people as I can. By nature, that is what I do. Whenever I speak to somebody, I make sure that I have learned something.

1200
3:07:38 --> 3:07:53
And the only way that we can get out of the current situation and the current mess is by homeschooling. So that is the only way that we can get out of it without killing the chiefs.

1201
3:07:53 --> 3:07:56
I think, yeah.

1202
3:07:56 --> 3:08:16
Yeah, if you renew the base, the base will basically outgrow the competition that is morons. So the current schools, the current universities, they grow morons. There is no other word.

1203
3:08:16 --> 3:08:36
They have no idea of thinking for themselves. They have learned memories, they have learned opinions, they have learned evaluations. They do not have the capability of thinking for themselves.

1204
3:08:36 --> 3:08:41
Correct. So schools and universities are the problem, aren't they?

1205
3:08:41 --> 3:08:43
They are the problem, yes.

1206
3:08:43 --> 3:08:50
And if we don't do anything about them, we can do everything else right, but we'll be in a worse position in 50 years time.

1207
3:08:50 --> 3:08:58
Yes. And the only solution that really has some value is the homeschooling solution.

1208
3:08:58 --> 3:09:14
Yes. But of course the people doing the homeschooling, hopefully will somehow have escaped or managed to allow themselves to escape the system. So they'll understand hopefully what they're up against.

1209
3:09:14 --> 3:09:25
Yeah, but I know plenty of retired school teachers that got disgusted during their last years while they were still active.

1210
3:09:25 --> 3:09:27
Yes, I know. Same with me.

1211
3:09:27 --> 3:09:47
Yeah. So as long as these people are alive, they can be very beneficial and they can still convey their knowledge to the younger generations. So we still have to benefit from these people that are still around.

1212
3:09:47 --> 3:10:02
But the problem is those people, those very same people who have a lot to teach have lost confidence in themselves and they don't want to risk upsetting other human beings, you know, because, you know, not to offend people.

1213
3:10:02 --> 3:10:13
But you can't have everything. Either you want to save the world or you don't want to save it. And if you don't want to save it for your children and your grandchildren, why are we here?

1214
3:10:13 --> 3:10:41
Yeah, but it only requires some effort to get them the sparkle to reignite their drive to teach. So when I was young, so I'm 55 years old, when I was young, the teachers that I got in school, you had to put them really in some isolation room to stop teaching.

1215
3:10:41 --> 3:10:51
They had the natural drive to hand over knowledge, experience. They couldn't be stopped.

1216
3:10:51 --> 3:11:06
Yeah, they understood. They understood why they were here. And there are very few people nowadays who understand that. They just go through life not thinking and and not taking their responsibilities seriously.

1217
3:11:06 --> 3:11:13
You know, anything to avoid responsibility. I see it all over the place. Absolutely.

1218
3:11:13 --> 3:11:27
Thank you so much for talking to us, Danny. I think so you and I have clashed in the past, but we may make friends in the end. That's happened to me. I've clashed with people who later I was very good friends with.

1219
3:11:27 --> 3:11:31
So, no worries.

1220
3:11:31 --> 3:11:38
Very nice to have you as our guest when you were hidden away for so long as as one of the group.

1221
3:11:38 --> 3:11:45
So I usually keep a very low profile and I don't say a lot.

1222
3:11:45 --> 3:11:52
But Danny, like me, you've understood that this is your time.

1223
3:11:52 --> 3:12:05
Yeah, so that is also why I introduced my slides the way I introduced it. So I have given you the my approach to life and to knowledge.

1224
3:12:05 --> 3:12:17
And the reason why I study is what I have explained, because you need to have so many more perspectives to look at a certain topic.

1225
3:12:17 --> 3:12:23
And if you just take the standard education system, you will never get it.

1226
3:12:23 --> 3:12:31
Well, Danny, I did notice one thing about you. So when I we were talking a couple of weeks ago, I think it was after a presentation.

1227
3:12:31 --> 3:12:41
And I invited you to speak to us when I realized that you knew so much about computers, you know, and I think I know I've forgotten the point.

1228
3:12:41 --> 3:12:45
It'll come to me when I let it go. I put so much preamble in.

1229
3:12:45 --> 3:12:52
I forgot what I was going to say, but it'll come back to me when we stop the recording.

1230
3:12:52 --> 3:12:59
Yes. Oh, I did notice that you saw a chance. You saw a chance to speak and you took it very seriously.

1231
3:12:59 --> 3:13:04
And you you were very exercised.

1232
3:13:04 --> 3:13:13
I understood you in a way, you know, I didn't say anything, but you were very exercised about getting your bio right for me and Charles.

1233
3:13:13 --> 3:13:19
And so you kind of took responsibility when you realized that you had a chance to speak, you know, to us.

1234
3:13:19 --> 3:13:25
And you understood that you maybe at least maybe had something important to say to us.

1235
3:13:25 --> 3:13:36
And I think that's what I wanted to say to you, because you took the responsibility and you you wanted to use the time you had to speak to us in the best possible way.

1236
3:13:36 --> 3:13:47
And that's what we all need to do, in my opinion, to take to understand what our role is in these dreadful times that we're going through.

1237
3:13:47 --> 3:13:50
I mean, you know, it was you can see it before as well now.

1238
3:13:50 --> 3:14:01
But yeah, and I think you're a living example, Danny, of someone who has taken you've understood what you need to do and you're trying your best.

1239
3:14:01 --> 3:14:10
You know, I think you'd agree you're not the most how should I say, I wouldn't imagine you're the most sociable person in the world.

1240
3:14:10 --> 3:14:20
That's not a criticism. But but you understood that you had to kind of enter areas which you were less comfortable with, you know.

1241
3:14:20 --> 3:14:28
So speaking to people, you know, is not easy. And and, you know, people like you and me have to force ourselves to do it, I think.

1242
3:14:28 --> 3:14:30
But anyway, thank you so much, Danny.

1243
3:14:30 --> 3:14:32
You're welcome.

1244
3:14:32 --> 3:14:45
The reason why I wrote the elaborate introduction is because when you browse about me, you will not find much.

1245
3:14:45 --> 3:14:49
So it was better to just provide you with the information.

1246
3:14:49 --> 3:14:50
I understand.

1247
3:14:50 --> 3:14:52
You will never find it.

1248
3:14:52 --> 3:14:53
Yes.

1249
3:14:53 --> 3:14:55
Yes.

1250
3:14:55 --> 3:15:03
But I think we understood a bit more than you thought, Danny, at least I hope that.

1251
3:15:03 --> 3:15:04
Absolutely.

1252
3:15:04 --> 3:15:06
I thank you for the opportunity.

1253
3:15:06 --> 3:15:08
And it is indeed true.

1254
3:15:08 --> 3:15:24
It's a bit the same as what David said a couple of weeks ago when he was talking about his collaboration with Ari Moulish.

1255
3:15:24 --> 3:15:26
I missed the name.

1256
3:15:26 --> 3:15:32
Terry, the man from.

1257
3:15:32 --> 3:15:33
Oh, sorry.

1258
3:15:33 --> 3:15:35
Yeah.

1259
3:15:35 --> 3:15:37
What man? I'm just trying to get this.

1260
3:15:37 --> 3:15:41
The man from the PCR tests.

1261
3:15:41 --> 3:15:46
You mean the one who was working with Peter Duisburg, you mean?

1262
3:15:46 --> 3:15:48
Yes, indeed.

1263
3:15:48 --> 3:15:53
So I can't believe I've forgotten his name.

1264
3:15:53 --> 3:15:57
So we were talking about Kerry Moulis and.

1265
3:15:57 --> 3:15:59
Yes.

1266
3:15:59 --> 3:16:03
So he'd worked. He'd met Kerry Moulis and worked with him, I think.

1267
3:16:03 --> 3:16:05
And Peter Duisburg too.

1268
3:16:05 --> 3:16:07
So his name is.

1269
3:16:07 --> 3:16:09
David something.

1270
3:16:09 --> 3:16:12
David. Yes, David.

1271
3:16:12 --> 3:16:16
David.

1272
3:16:16 --> 3:16:20
I've got a blank. Can anyone help us?

1273
3:16:20 --> 3:16:23
Yeah, he's got a great beard.

1274
3:16:23 --> 3:16:25
David Rasnik.

1275
3:16:25 --> 3:16:27
Yes, indeed.

1276
3:16:27 --> 3:16:42
So it may sound strange or funny, but I've always kept a low profile and I've never said anything about the situation that I've discussed today.

1277
3:16:42 --> 3:16:50
So I don't know what is going to happen with it. I don't know what is going to happen from it.

1278
3:16:50 --> 3:16:52
Who is going to see it? I have no idea.

1279
3:16:52 --> 3:16:54
But that's life.

1280
3:16:54 --> 3:16:57
So Danny, if they attack you in Belgium, we'll come to rescue you.

1281
3:16:57 --> 3:17:00
OK, we'll send a rescue team.

1282
3:17:00 --> 3:17:02
Yeah, so we will see what happens.

1283
3:17:02 --> 3:17:07
Normally, I do not expect people to find it very quickly.

1284
3:17:07 --> 3:17:10
So there is still some time.

1285
3:17:10 --> 3:17:13
So that is the reason why I've never mentioned anything.

1286
3:17:13 --> 3:17:17
And that is also the reason why there is nothing to find about me.

1287
3:17:17 --> 3:17:19
You see.

1288
3:17:19 --> 3:17:31
Yes, I understand. Danny, what's the single most important point in your view that we all need to understand about computers, mobile phones and technocracy and technology and all the rest of it?

1289
3:17:31 --> 3:17:36
Yeah, so don't expect any privacy from it.

1290
3:17:36 --> 3:17:39
Don't expect any privacy from it.

1291
3:17:39 --> 3:17:47
So I know people that are using the privacy enabled mode of their browser.

1292
3:17:47 --> 3:17:53
So they think that nobody knows what they are browsing at that moment.

1293
3:17:53 --> 3:17:56
It is an illusion.

1294
3:17:56 --> 3:18:08
So it is mentioned in my slides in the bottom subtitle of the privacy section that the privacy part is an illusion.

1295
3:18:08 --> 3:18:16
So the governments have made the legal system such that they get away with it.

1296
3:18:16 --> 3:18:22
And they will fine tune the legal system so that they will stay getting away with it.

1297
3:18:22 --> 3:18:25
They keep getting away with it.

1298
3:18:25 --> 3:18:31
So I have done projects for police forces.

1299
3:18:31 --> 3:18:40
And we got carte blanche so we could do whatever we needed to solve some of their problems.

1300
3:18:40 --> 3:18:51
And then when they got their solution, they would make sure that the legal system, the legal framework would allow them to use it.

1301
3:18:51 --> 3:18:52
Yeah.

1302
3:18:52 --> 3:19:07
So the research that I've been doing for 28 years basically, we worked under the assumption that everything was possible.

1303
3:19:07 --> 3:19:18
For the very simple reason that at the moment that it was going to be used, it was going to be possible.

1304
3:19:18 --> 3:19:32
And the legal framework is so easy to modify so that they do whatever they like without any fear of getting in trouble.

1305
3:19:32 --> 3:19:33
Because they...

1306
3:19:33 --> 3:19:38
So one of the things I've noticed, Dani, it's very difficult to prove intent.

1307
3:19:38 --> 3:19:41
So that means a whole kind of...

1308
3:19:41 --> 3:19:48
That means the way for plausible deniability is, you know, the potential for plausible deniability.

1309
3:19:48 --> 3:19:58
If you can build plausible deniability into everything, it's extremely difficult to prove intent then, particularly then.

1310
3:19:58 --> 3:20:01
But it's always difficult to prove intent.

1311
3:20:01 --> 3:20:05
But I do not believe intent.

1312
3:20:05 --> 3:20:07
It is really premeditation.

1313
3:20:07 --> 3:20:09
It is completely...

1314
3:20:09 --> 3:20:18
The gears of the machine have been oiled so that there is no stopping of the complete engine.

1315
3:20:18 --> 3:20:21
Exactly.

1316
3:20:21 --> 3:20:22
Yes.

1317
3:20:22 --> 3:20:25
Could we but realize it.

1318
3:20:25 --> 3:20:26
But you have realized it.

1319
3:20:26 --> 3:20:28
So thank you so much.

1320
3:20:28 --> 3:20:29
You're welcome.